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doi:10.18710/6ECTTE
|
Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'. . . [NORSK SAMMENDRAG] I hvilken grad etterlever Norges Høyesterett sitt eget «tilfeldighetsprinsipp»? Et tilfeldighetsprinsipp er en viktig prosedyre som skal sikre at tildelingen av saker til dommere og fordelingen av dommere til avdeling ikke skjeler til sakens utfall. Vi finner ingen forretningsorden på tilfeldighetsprinsippet som gjør prosedyren gjennomsiktig og etterprøvbar for avdelingene, men vi legger til grunn prosedyren Høyesterett sier den følger. Vi tester to sider ved Høyesteretts tilfeldighetsprinsipp. For det første i hvor stor grad sivile saker og straffesaker over tid fordeles likt på dommerne. For det andre i hvor stor grad sammensetningen av de to avdelingene følger «tilfeldighetsprinsippet» om å ha avdelingenes ti dommerne fordelt i avtagende og alternerende ansiennitet. Vi analyserer sakene som er avgjort i avdeling i perioden 2008-2019. For den første testen finner vi en jevn fordeling av sivile saker og straffesaker til dommerne, med noen unntak som sannsynligvis kan forklares av habilitetsvurderinger. For den andre testen finner vi at bare 22.5 prosent av avdelingene som har forhandlinger samme dag er i samsvar med Høyesteretts egne interne prosedyrer for tilfeldighetsprinsippet. Hele 77.5 prosent av avdelingene er ikke i samsvar med domstolens erklærte prosedyre. Vi finner ingen åpenbare årsaker til at andelen avdelinger som avviker fra «tilfeldighetsprinsippet» skal være så stor. Resultatene bør oppmuntre til en avklaring og større gjennomsiktighet om hvordan Høyesterett praktiserer sitt erklærte tilfeldighetsprinsipp.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication data for: Tilfeldighetsprinsippet i Norges Høyesterett: Fordelingen av Saker Mellom Dommere og Fordelingen av Dommere på Avdeling. En empirisk undersøkelse.' Description:'. . . [NORSK SAMMENDRAG] I hvilken grad etterlever Norges Høyesterett sitt eget «tilfeldighetsprinsipp»? Et tilfeldighetsprinsipp er en viktig prosedyre som skal sikre at tildelingen av saker til dommere og fordelingen av dommere til avdeling ikke skjeler til sakens utfall. Vi finner ingen forretningsorden på tilfeldighetsprinsippet som gjør prosedyren gjennomsiktig og etterprøvbar for avdelingene, men vi legger til grunn prosedyren Høyesterett sier den følger. Vi tester to sider ved Høyesteretts tilfeldighetsprinsipp. For det første i hvor stor grad sivile saker og straffesaker over tid fordeles likt på dommerne. For det andre i hvor stor grad sammensetningen av de to avdelingene følger «tilfeldighetsprinsippet» om å ha avdelingenes ti dommerne fordelt i avtagende og alternerende ansiennitet. Vi analyserer sakene som er avgjort i avdeling i perioden 2008-2019. For den første testen finner vi en jevn fordeling av sivile saker og straffesaker til dommerne, med noen unntak som sannsynligvis kan forklares av habilitetsvurderinger. For den andre testen finner vi at bare 22.5 prosent av avdelingene som har forhandlinger samme dag er i samsvar med Høyesteretts egne interne prosedyrer for tilfeldighetsprinsippet. Hele 77.5 prosent av avdelingene er ikke i samsvar med domstolens erklærte prosedyre. Vi finner ingen åpenbare årsaker til at andelen avdelinger som avviker fra «tilfeldighetsprinsippet» skal være så stor. Resultatene bør oppmuntre til en avklaring og større gjennomsiktighet om hvordan Høyesterett praktiserer sitt erklærte tilfeldighetsprinsipp.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
. . . [NORSK SAMMENDRAG] I hvilken grad etterlever Norges Høyesterett sitt eget «tilfeldighetsprinsipp»? Et tilfeldighetsprinsipp er en viktig prosedyre som skal sikre at tildelingen av saker til dommere og fordelingen av dommere til avdeling ikke skjeler til sakens utfall. Vi finner ingen forretningsorden på tilfeldighetsprinsippet som gjør prosedyren gjennomsiktig og etterprøvbar for avdelingene, men vi legger til grunn prosedyren Høyesterett sier den følger. Vi tester to sider ved Høyesteretts tilfeldighetsprinsipp. For det første i hvor stor grad sivile saker og straffesaker over tid fordeles likt på dommerne. For det andre i hvor stor grad sammensetningen av de to avdelingene følger «tilfeldighetsprinsippet» om å ha avdelingenes ti dommerne fordelt i avtagende og alternerende ansiennitet. Vi analyserer sakene som er avgjort i avdeling i perioden 2008-2019. For den første testen finner vi en jevn fordeling av sivile saker og straffesaker til dommerne, med noen unntak som sannsynligvis kan forklares av habilitetsvurderinger. For den andre testen finner vi at bare 22.5 prosent av avdelingene som har forhandlinger samme dag er i samsvar med Høyesteretts egne interne prosedyrer for tilfeldighetsprinsippet. Hele 77.5 prosent av avdelingene er ikke i samsvar med domstolens erklærte prosedyre. Vi finner ingen åpenbare årsaker til at andelen avdelinger som avviker fra «tilfeldighetsprinsippet» skal være så stor. Resultatene bør oppmuntre til en avklaring og større gjennomsiktighet om hvordan Høyesterett praktiserer sitt erklærte tilfeldighetsprinsipp.
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Social Sciences
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Supreme Court, Høyesterett, tilfeldighetsprinsipp, ansiennitet, dommere, avdeling, sakstype, supreme court, justices panel, composition, seniority,randomness,
|
doi:10.18710/DWIX6Y
|
Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.
|
Law
|
case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases
|
doi:10.18710/DWIX6Y
|
Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
ABSTRACT OF STUDY:While high courts with fixed time for oral arguments deprive researchers of the opportunity to extract temporal variance, courts that apply the “accordion model” institutional design and adjust the time for oral arguments according to the perceived complexity of a case are a boon for research that seeks to validate case complexity well ahead of the courts’ opinion writing. We analyse an original data set of all 1,402 merits decisions of the Norwegian Supreme Court from 2008 to 2018 where the justices set time for oral arguments to accommodate the anticipated difficulty of the case. Our validation model empirically tests whether and how attributes of a case associated with ex ante complexity are linked with time allocated for oral arguments. Cases that deal with international law and civil law, have several legal players, are cross-appeals from lower courts are indicative of greater case complexity. We argue that these results speak powerfully to the use of case attributes and/or the time reserved for oral arguments as ex ante measures of case complexity. To enhance the external validity of our findings, future studies should examine whether these results are confirmed in high courts with similar institutional design for oral arguments. Subsequent analyses should also test the degree to which complex cases and/or time for oral arguments have predictive validity on more divergent opinions among the justices and on the time courts and justices need to render a final opinion.
|
Social Sciences
|
case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases
|
doi:10.18710/DWIX6Y
|
Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.
|
Law
|
case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases
|
doi:10.18710/DWIX6Y
|
Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A High Court Plays the Accordion: Validating Ex Ante Case Complexity on Oral Arguments' Description:'The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The data set (saved in Stata *.dta and .txt) contains all observations (Norwegian supreme court cases 2008-2018 decided in five-justice panels) and variables (independent variables measuring complexity of cases and the dependent variable measuring time in hours scheduled for oral arguments) relevant for a complete replication of the the study.
|
Social Sciences
|
case complexity; justice system; Norway supreme court; oral arguments; Stata data; supreme court cases
|
doi:10.18710/LWYU9M
|
Survey data for: Environmental Crimes and Illegal Waste Trade.
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:'Earth and Environmental Sciences; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.
|
Earth and Environmental Sciences
|
Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade
|
doi:10.18710/LWYU9M
|
Survey data for: Environmental Crimes and Illegal Waste Trade.
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:'Earth and Environmental Sciences; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.
|
Law
|
Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade
|
doi:10.18710/LWYU9M
|
Survey data for: Environmental Crimes and Illegal Waste Trade.
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:'Earth and Environmental Sciences; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.
|
Other
|
Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade
|
doi:10.18710/LWYU9M
|
Survey data for: Environmental Crimes and Illegal Waste Trade.
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Survey data for: Environmental Crimes and Illegal Waste Trade.' Description:'The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.' Subject:'Earth and Environmental Sciences; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The dataset includes the survey questions and answer for the primary sources of the Master Thesis in International Environmental Studies, entitled 'Environmental Crimes and Illegal Waste Trade. A Study of the Perception of Seriousness of Environmental Crimes related to Slow Violence and Ecomafie in the Province of Brescia, Italy'.Environmental crimes of the illegal waste trade committed by mafia-type organisations have been expanding in different areas of Italy, especially in the North of the country. The master thesis aims to understand the characteristic of the illegal waste trade whenever 'ecomafie' are involved. The project aims to read these illegal activities through the lens of the slow violence theory, by addressing the perceptions of the inhabitants of the area regarding the seriousness of environmental crimes. The qualitative research is based on data collected by an on-line survey, included in this dataset. The survey was carried out in Italian and later translated and analysed in English. The data were collected using a snowball method.
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Social Sciences
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Ecomafia; environmental crimes; illegal waste trade; Organized crime; Slow violence; Waste trade
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doi:10.18738/T8/79VXCU
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Texas Crime Investigating Committee - Item Level Metadata
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Crime; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505
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Arts and Humanities
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Crime; Texas
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doi:10.18738/T8/79VXCU
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Texas Crime Investigating Committee - Item Level Metadata
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Crime; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62505
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Law
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Crime; Texas
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doi:10.18738/T8/79VXCU
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Texas Crime Investigating Committee - Item Level Metadata
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Crime; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.
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Arts and Humanities
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Crime; Texas
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doi:10.18738/T8/79VXCU
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Texas Crime Investigating Committee - Item Level Metadata
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Crime; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Texas Crime Investigating Committee - Item Level Metadata' Description:'This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is the item level metadata for the Texas Crime Investigating Committee Records, 1950-1953 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.
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Law
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Crime; Texas
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doi:10.18738/T8/E6QVXJ
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Replication Data for 'Endogenous & Dangerous'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'argumentation; case use; citation; defeasible; fair use; trial court'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Endogenous & Dangerous'' Description:'This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.
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Arts and Humanities
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argumentation; case use; citation; defeasible; fair use; trial court
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doi:10.18738/T8/E6QVXJ
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Replication Data for 'Endogenous & Dangerous'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'argumentation; case use; citation; defeasible; fair use; trial court'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Endogenous & Dangerous'' Description:'This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article 'Endogenous and Dangerous,' in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, 'Coding guide & replication data for 'Precedent as Rational Persuasion'', https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1.
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Law
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argumentation; case use; citation; defeasible; fair use; trial court
|
doi:10.18738/T8/M2PJIH
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American Ex-Prisoners of War (Texas Department) - Item Level Metadata
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Military; Prisoner of War; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465
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Arts and Humanities
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Military; Prisoner of War; Texas
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doi:10.18738/T8/M2PJIH
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American Ex-Prisoners of War (Texas Department) - Item Level Metadata
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Military; Prisoner of War; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465
|
Law
|
Military; Prisoner of War; Texas
|
doi:10.18738/T8/M2PJIH
|
American Ex-Prisoners of War (Texas Department) - Item Level Metadata
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Military; Prisoner of War; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This collection has been digitized at the Southwest Collection/Special Collections Library DSpace. The collection's link is: https://swco-ir.tdl.org/swco-ir/handle/10605/62465
|
Social Sciences
|
Military; Prisoner of War; Texas
|
doi:10.18738/T8/M2PJIH
|
American Ex-Prisoners of War (Texas Department) - Item Level Metadata
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Military; Prisoner of War; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.
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Arts and Humanities
|
Military; Prisoner of War; Texas
|
doi:10.18738/T8/M2PJIH
|
American Ex-Prisoners of War (Texas Department) - Item Level Metadata
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Military; Prisoner of War; Texas'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.
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Law
|
Military; Prisoner of War; Texas
|
doi:10.18738/T8/M2PJIH
|
American Ex-Prisoners of War (Texas Department) - Item Level Metadata
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Military; Prisoner of War; Texas'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'American Ex-Prisoners of War (Texas Department) - Item Level Metadata' Description:'This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is the item level metadata for the American Ex-Prisoners of War (Texas Department) Records, 1929-2002 and undated. This collection was selected for a weeding of duplicate records and item level records were deleted from the repository. The metadata for each item remains in this record and is available for research.
|
Social Sciences
|
Military; Prisoner of War; Texas
|
doi:10.18738/T8/SXNR02
|
Coding guide & replication data for 'Precedent as Rational Persuasion'
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'jurisprudence; legal argumentation; legal reasoning; legal theory; legal topoi'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Coding guide & replication data for 'Precedent as Rational Persuasion'' Description:'This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.
|
Arts and Humanities
|
jurisprudence; legal argumentation; legal reasoning; legal theory; legal topoi
|
doi:10.18738/T8/SXNR02
|
Coding guide & replication data for 'Precedent as Rational Persuasion'
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'jurisprudence; legal argumentation; legal reasoning; legal theory; legal topoi'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Coding guide & replication data for 'Precedent as Rational Persuasion'' Description:'This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.' Subject:'Arts and Humanities; Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This study analyzed the uses that legal authors—judges and the lawyers appearing before them—made of previous court opinions that they cited in their arguments. The study developed novel methods for segmenting legal texts and studying this unit of analysis. The principal findings appear in the journal article 'Precedent as Rational Persuasion,' in volume 25 of Legal Writing: Journal of the Legal Writing Institute, forthcoming 2021. The most complete information about the dataset is in the file titled 'Coding guide and Replication Data.PDF,' and any external references to pagination in this dataset should be to that document.
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Law
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jurisprudence; legal argumentation; legal reasoning; legal theory; legal topoi
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doi:10.18738/T8/Z3QBIQ
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Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Hispanic Periodicals, Latino Periodicals, Editorials'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)' Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' Subject:'Arts and Humanities; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.
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Arts and Humanities
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Hispanic Periodicals, Latino Periodicals, Editorials
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doi:10.18738/T8/Z3QBIQ
|
Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Hispanic Periodicals, Latino Periodicals, Editorials'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)' Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' Subject:'Arts and Humanities; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.
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Law
|
Hispanic Periodicals, Latino Periodicals, Editorials
|
doi:10.18738/T8/Z3QBIQ
|
Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Hispanic Periodicals, Latino Periodicals, Editorials'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)' Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' Subject:'Arts and Humanities; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.
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Other
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Hispanic Periodicals, Latino Periodicals, Editorials
|
doi:10.18738/T8/Z3QBIQ
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Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Hispanic Periodicals, Latino Periodicals, Editorials'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Editorials and Letters to the Editor in US Hispanic Periodicals (1808-1960)' Description:'Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.' Subject:'Arts and Humanities; Law; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Out of 288 indexed periodicals, this rich dataset includes editorials and letters to the editor. This dataset demonstrates the breadth of topics represented in Spanish-language periodicals published in the United States between 1808 and 1960; some of the topics include politics, women’s rights, intellectual life, social conditions, among others.De 288 periódicos indexados, este robusto conjunto de datos incluye editoriales y cartas al editor. Este conjunto de datos pone en evidencia la variedad de temas representados en los periódicos en español publicados en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen política, derechos de la mujer, vida intelectual, condiciones sociales, entre otros.
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Social Sciences
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Hispanic Periodicals, Latino Periodicals, Editorials
|
doi:10.21950/02JO85
|
Escuelas de imperio. La formación de una elite en los Colegios Mayores (siglos XVI-XVII)
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Colegios mayores y colegiales en Europa durante la Edad Moderna.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Burocracia moderna; Colegios Mayores; Colegios seculares; Educación; Education; Mecenazgo; Poder; Universidades; Universities'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Escuelas de imperio. La formación de una elite en los Colegios Mayores (siglos XVI-XVII)' Description:'Colegios mayores y colegiales en Europa durante la Edad Moderna.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Colegios mayores y colegiales en Europa durante la Edad Moderna.
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Law
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Burocracia moderna; Colegios Mayores; Colegios seculares; Educación; Education; Mecenazgo; Poder; Universidades; Universities
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doi:10.21950/1YOPT9
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Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) - Colegiales excluidos
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Colegios Mayores; Colegios seculares; Educación; Education; Secular Colleges; Universidades; Universities'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) - Colegiales excluidos' Description:'Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales
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Law
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Colegios Mayores; Colegios seculares; Educación; Education; Secular Colleges; Universidades; Universities
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doi:10.21950/1YOPT9
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Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) - Colegiales excluidos
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Colegios Mayores; Colegios seculares; Educación; Education; Secular Colleges; Universidades; Universities'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) - Colegiales excluidos' Description:'Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Listado de colegiales no incluidos en el Diccionario Biográfico de Colegiales Mayores Españoles (1560-1650) disponible en http://www.uc3m.es/colegiales
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Social Sciences
|
Colegios Mayores; Colegios seculares; Educación; Education; Secular Colleges; Universidades; Universities
|
doi:10.21950/4VNPCN
|
La libertad de enseñanza. Un debate del Ochocientos europeo
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Gráficos y tablas que permiten visualizar la importancia de la enseñanza libre en la Universidad de Madrid y la Universidad de Salamanca en el siglo XIX.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Enseñanza libre; Facultad de Derecho; Universidad liberal'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'La libertad de enseñanza. Un debate del Ochocientos europeo' Description:'Gráficos y tablas que permiten visualizar la importancia de la enseñanza libre en la Universidad de Madrid y la Universidad de Salamanca en el siglo XIX.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Gráficos y tablas que permiten visualizar la importancia de la enseñanza libre en la Universidad de Madrid y la Universidad de Salamanca en el siglo XIX.
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Law
|
Enseñanza libre; Facultad de Derecho; Universidad liberal
|
doi:10.21950/5II6LN
|
El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ética de la Inteligencia Artificial; Filosofía de las Tecnologías; Inteligencia Artificial; Reconocimiento Facial; Regulación; Unión Europea'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo' Description:'Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010
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Law
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Ética de la Inteligencia Artificial; Filosofía de las Tecnologías; Inteligencia Artificial; Reconocimiento Facial; Regulación; Unión Europea
|
doi:10.21950/5II6LN
|
El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ética de la Inteligencia Artificial; Filosofía de las Tecnologías; Inteligencia Artificial; Reconocimiento Facial; Regulación; Unión Europea'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo' Description:'Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010
|
Social Sciences
|
Ética de la Inteligencia Artificial; Filosofía de las Tecnologías; Inteligencia Artificial; Reconocimiento Facial; Regulación; Unión Europea
|
doi:10.21950/8O4OJM
|
Revistas jurídicas españolas. Base de datos para un repertorio (1834-1936)
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Conjunto de datos que incluye informaciones bibliográficas relativas a las revistas jurídicas publicadas en España entre 1834 y 1936. El proyecto se encuentra abierto a la contribución de terceros que deseen agregar títulos, rectificar o precisar las informaciones registradas, dejando expresa constancia del aporte de cualquier colaborador.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'19th Century; 20th Century; Bibliographical Studies; España; Estudios de bibliografía; Estudios jurídicos; Juristas; Jurists; Legal Journals; Legal Publishing; Periodicals; Publicaciones periódicas; Revistas jurídicas; Siglo XIX; Siglo XX; Spain'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Revistas jurídicas españolas. Base de datos para un repertorio (1834-1936)' Description:'Conjunto de datos que incluye informaciones bibliográficas relativas a las revistas jurídicas publicadas en España entre 1834 y 1936. El proyecto se encuentra abierto a la contribución de terceros que deseen agregar títulos, rectificar o precisar las informaciones registradas, dejando expresa constancia del aporte de cualquier colaborador.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Conjunto de datos que incluye informaciones bibliográficas relativas a las revistas jurídicas publicadas en España entre 1834 y 1936. El proyecto se encuentra abierto a la contribución de terceros que deseen agregar títulos, rectificar o precisar las informaciones registradas, dejando expresa constancia del aporte de cualquier colaborador.
|
Law
|
19th Century; 20th Century; Bibliographical Studies; España; Estudios de bibliografía; Estudios jurídicos; Juristas; Jurists; Legal Journals; Legal Publishing; Periodicals; Publicaciones periódicas; Revistas jurídicas; Siglo XIX; Siglo XX; Spain
|
doi:10.21950/B71ZEZ
|
Posesión, dominio y Registro. Constitución de la propiedad contemporánea en España (1861-1944)
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Historia del Derecho; Historia de los registros de la propiedad; Land Registration History; Legal History'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Posesión, dominio y Registro. Constitución de la propiedad contemporánea en España (1861-1944)' Description:'Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)
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Law
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Historia del Derecho; Historia de los registros de la propiedad; Land Registration History; Legal History
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doi:10.21950/PUCK8P
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Enseñar Derecho en la República: la Facultad de Madrid (1931-1939)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Profesores de las diferentes cátedras de la Universidad Central (Madrid) durante la Segunda República Española (1931-1939)' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Enseñanza del derecho; Exilio republicano; Facultad de derecho; Guerra civil española; Segunda República Española; Universidad Central; Universidad de Madrid'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Enseñar Derecho en la República: la Facultad de Madrid (1931-1939)' Description:'Profesores de las diferentes cátedras de la Universidad Central (Madrid) durante la Segunda República Española (1931-1939)' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Profesores de las diferentes cátedras de la Universidad Central (Madrid) durante la Segunda República Española (1931-1939)
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Law
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Enseñanza del derecho; Exilio republicano; Facultad de derecho; Guerra civil española; Segunda República Española; Universidad Central; Universidad de Madrid
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doi:10.21950/RHVJDX
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Table of cases from law reports. Criminal conspiracy cases 1574-1872
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Tabulated cases of criminal conspiracy in England from 1574 to 1872. There are three parameters: Date, Case Name, and Nominative Citation.This table of cases is based on that provided by Wright, Robert Samuel. The Law of Criminal Conspiracies and Agreements. London : Butterworths, 1873, pp. 103-107' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'criminal conspiracy'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Table of cases from law reports. Criminal conspiracy cases 1574-1872' Description:'Tabulated cases of criminal conspiracy in England from 1574 to 1872. There are three parameters: Date, Case Name, and Nominative Citation.This table of cases is based on that provided by Wright, Robert Samuel. The Law of Criminal Conspiracies and Agreements. London : Butterworths, 1873, pp. 103-107' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Tabulated cases of criminal conspiracy in England from 1574 to 1872. There are three parameters: Date, Case Name, and Nominative Citation.This table of cases is based on that provided by Wright, Robert Samuel. The Law of Criminal Conspiracies and Agreements. London : Butterworths, 1873, pp. 103-107
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Law
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criminal conspiracy
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doi:10.21950/SGQPCN
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Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Conjuntos de datos a los que se hace referencia en la monografía: Vilella Llop, Pilar (2021). Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes, Madrid, Dykinson/UC3M, Colección Resolución de conflictos, n. 12. ISBN: 978-84-1377-534-0' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'coordinación de parentalidad; Derecho de familia; divorcios; mediación familiar; nulidades matrimoniales; separaciones'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes' Description:'Conjuntos de datos a los que se hace referencia en la monografía: Vilella Llop, Pilar (2021). Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes, Madrid, Dykinson/UC3M, Colección Resolución de conflictos, n. 12. ISBN: 978-84-1377-534-0' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Conjuntos de datos a los que se hace referencia en la monografía: Vilella Llop, Pilar (2021). Hacia un nuevo modelo de Derecho de Familia: Análisis de las figuras y herramientas emergentes, Madrid, Dykinson/UC3M, Colección Resolución de conflictos, n. 12. ISBN: 978-84-1377-534-0
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Law
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coordinación de parentalidad; Derecho de familia; divorcios; mediación familiar; nulidades matrimoniales; separaciones
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doi:10.21950/V9FCP3
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El instituto femenino Isabel la Católica: un centro modélico del CSIC
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Datos sobre el instituto femenino Isabel la Católica (Madrid) a los que se hace referencia en la monografía: Araque Hontagas, Natividad (2019). El instituto femenino Isabel la Católica: un centro modélico del CSIC. Madrid: Universidad Carlos III de Madrid - Dykinson. Historia de las Universidades, 49. ISSN: 1886-0710. ISBN: 978-84-1324-426-6. URI: http://hdl.handle.net/10016/29046' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Alumnas; Asignaturas; Instituto de Enseñanza Media; Mujeres; Profesorado; Sección Femenina'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'El instituto femenino Isabel la Católica: un centro modélico del CSIC' Description:'Datos sobre el instituto femenino Isabel la Católica (Madrid) a los que se hace referencia en la monografía: Araque Hontagas, Natividad (2019). El instituto femenino Isabel la Católica: un centro modélico del CSIC. Madrid: Universidad Carlos III de Madrid - Dykinson. Historia de las Universidades, 49. ISSN: 1886-0710. ISBN: 978-84-1324-426-6. URI: http://hdl.handle.net/10016/29046' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Datos sobre el instituto femenino Isabel la Católica (Madrid) a los que se hace referencia en la monografía: Araque Hontagas, Natividad (2019). El instituto femenino Isabel la Católica: un centro modélico del CSIC. Madrid: Universidad Carlos III de Madrid - Dykinson. Historia de las Universidades, 49. ISSN: 1886-0710. ISBN: 978-84-1324-426-6. URI: http://hdl.handle.net/10016/29046
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Law
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Alumnas; Asignaturas; Instituto de Enseñanza Media; Mujeres; Profesorado; Sección Femenina
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doi:10.21950/VGZHYT
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Doctores en Derecho por la Universidad de Salamanca en el Sexenio Revolucionario (1868-1874)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Tabla gráfica en la que se da cuenta de los doctores en derecho en las especialidades de Civil y Canónico y Administrativo por la Universidad de Salamanca durante el Sexenio Revolucionario, así como la fecha del examen de licenciatura, el título de cada tesis, su nota, su fecha de presentación, fecha de expedición del título.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Historia; Salamanca; Sexenio Revolucionario; Universidades'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Doctores en Derecho por la Universidad de Salamanca en el Sexenio Revolucionario (1868-1874)' Description:'Tabla gráfica en la que se da cuenta de los doctores en derecho en las especialidades de Civil y Canónico y Administrativo por la Universidad de Salamanca durante el Sexenio Revolucionario, así como la fecha del examen de licenciatura, el título de cada tesis, su nota, su fecha de presentación, fecha de expedición del título.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Tabla gráfica en la que se da cuenta de los doctores en derecho en las especialidades de Civil y Canónico y Administrativo por la Universidad de Salamanca durante el Sexenio Revolucionario, así como la fecha del examen de licenciatura, el título de cada tesis, su nota, su fecha de presentación, fecha de expedición del título.
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Law
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Historia; Salamanca; Sexenio Revolucionario; Universidades
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doi:10.21950/WUFYII
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Normativa de los pretendientes a oficios
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Administración; Corte; Derecho; Edad Contemporánea; Pretendientes'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Normativa de los pretendientes a oficios' Description:'Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.
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Law
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Administración; Corte; Derecho; Edad Contemporánea; Pretendientes
|
doi:10.21950/WUFYII
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Normativa de los pretendientes a oficios
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Administración; Corte; Derecho; Edad Contemporánea; Pretendientes'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Normativa de los pretendientes a oficios' Description:'Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Compilación de la legislación que afecta a la figura de los pretendientes a oficios, así como algunas normas relativas a los agentes, desde sus antecedentes medievales hasta el siglo XIX, incluyendo: la fecha y el tipo de norma, un extracto de su contenido o preceptos fundamentales, y un apartado de ubicación de la norma o referencia de publicaciones donde ha aparecido citada.---La tabla no pretende ser un compendio exhaustivo de toda la legislación referente a los pretendientes, pero sí una herramienta útil para el conocimiento de las normas más importantes de distintas épocas. Su elaboración se basa en las leyes referenciadas por los autores citados en el texto, especialmente Mariluz Urquijo, Barrios Pintado y Morales Moya, ampliamente engrosada con otras normas halladas durante el estudio.
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Social Sciences
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Administración; Corte; Derecho; Edad Contemporánea; Pretendientes
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doi:10.34725/DVN/VQXGPV
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Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.
|
Agricultural Sciences
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Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism
|
doi:10.34725/DVN/VQXGPV
|
Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.
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Business and Management
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Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism
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doi:10.34725/DVN/VQXGPV
|
Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.
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Law
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Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism
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doi:10.34725/DVN/VQXGPV
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Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Tsafack S, Degrande A, Franzel S, Simpson B. 2014. Farmer-to-farmer extension in Cameroon: a survey of extension organizations. ICRAF Working Paper No. 182. Nairobi, World Agroforestry Centre.' Description:'Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Despite the central role that farmers play as agricultural producers in developing countries, they are often inadequately served by research, extension and advisory services. Extension approaches such as the farmer-to-farmer extension (F2F) approach were developed to improve service to farmers, but little is known about how this approach is being used in Cameroon. This paper examines the experiences of organizations using the F2F extension approach. Specifically, the study characterizes and assesses F2F extension approaches in Cameroon to determine which practices are most effective in different circumstances. A semi-structured questionnaire was used to collect data from 24 selected organizations in seven regions of the country. The F2F extension approach in Cameroon is used by farmer organizations as well asnational and international non-profit organizations. Neither governmental services nor private sector companies use this approach. Those organizations using F2F extension had on average five field staff (FS), and mainly targeted farmer groups.Fifty-eight percent of organizations interviewed had one woman or no women among their field staff. Though respondents stated that their organizations were using many different extension approaches, in addition to the F2F approach, 41 percent identified F2F as the most effective method. The main sources of technical information for FS were personal reading, information exchanged during seminars and workshops, staff members’ own experiences and research institutes.Field staff were in charge of capacity development and follow-up of lead farmers (LFs). On the basis of mutually agreed upon criteria, LFs were usually selected jointly by FS and the community. According to the organizations interviewed, individual FS were working with 17 LFs on average, and the latter were training approximately four groups, each with about 43 members, in addition to 48 individual farmers outside of these groups. These LFs were considered an extension of FS in their communities and usually offered their services on a voluntary basis.Some organizations supported LFs by providing per diem during training workshops and meetings, and helping them set up income-generating opportunities such as selling livestock or seedlings. Among the main motivations for one to become a lead farmer mentioned by respondents were altruism and early access to technologies, followed by job benefits and social status. To remain in the position, LFs were motivated by opportunities for income generation and altruism, as well as social networking. Most of the organizations gave F2F a score of 8 (on a scale of 1-10) for effectiveness, so it is clear that the F2F approach is considered highly effective in Cameroon.
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Social Sciences
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Agricultural extension; Farmer-to-farmer extension; Lead farmers; Voluntarism
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doi:10.34725/DVN/ZW5I9V
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Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Gender; Rural advisory services; Voluntarism'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.
|
Agricultural Sciences
|
Agricultural extension; Gender; Rural advisory services; Voluntarism
|
doi:10.34725/DVN/ZW5I9V
|
Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Gender; Rural advisory services; Voluntarism'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.
|
Business and Management
|
Agricultural extension; Gender; Rural advisory services; Voluntarism
|
doi:10.34725/DVN/ZW5I9V
|
Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Gender; Rural advisory services; Voluntarism'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.
|
Law
|
Agricultural extension; Gender; Rural advisory services; Voluntarism
|
doi:10.34725/DVN/ZW5I9V
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Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Agricultural extension; Gender; Rural advisory services; Voluntarism'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Tsafack SAM, Degrande A, Franzel S, Simpson B. 2015. Farmer-to-farmer extension: a survey of lead farmers in Cameroon. ICRAF Working Paper No. 195. Nairobi, World Agroforestry Centre.' Description:'This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.' Subject:'Agricultural Sciences; Business and Management; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This study examines how the farmer-to-farmer (F2F) extension approach is implemented by farmer trainers in Cameroon. Those farmers selected to lead F2F extension are often known by different names but in this study, we use the term “lead farmer” (LF) as a generic term even though different names sometimes imply different roles. A questionnaire was used to collect data from 160 randomly selected LFs in six regions in Cameroon in 2013. The study describes the activities of LFs and the support they receive, assesses their technical competence and identifies factors that motivate them, as well as the challenges they face in implementing the F2F approach.In Cameroon, about half of the LFs (52 percent) were between 41 and 55 years old. Most LFs (81 percent) were married, and more than half had education levels above primary school. A majority of LFs started serving in their roles between 2005 and 2009. After their selection, through their group/community or from the extension field staff, LFs received an initial residential training of 6.8 days on average (median = three days). They also received additional training during their service.The major functions of LFs were to provide other farmers with technical advice, supervise their activities, and mobilize their community for awareness or training sessions. Although LFs declared that their competencies in the techniques that they taught others were often insufficient, they rated their competence level on the innovations that they disseminated at 3.8 on a scale of 1 to 5.Most (93 percent) topics taught by LFs were supported with practical exercises, and 91 percent of techniques were actually applied by trainees on their farms. Training needs were generally set by organizations who conducted their own training needs assessments. Lead farmers had some involvement in this process as training needs were identified through farmers’ requests. On average, a lead farmer trained five groups of 26.3 farmers each and 37 additional farmers outside of organized groups (median of total number of trainees per LF = 65). The most common places where LFs conducted training were in group/community halls, at trainees’ houses/farms, or at the LF’s house/farm. Transportation and communication expenses were mainly paid by LFs themselves.Half of the LFs received training and demonstration materials from the organizationssupporting their efforts. Almost all LFs (95 percent) reported being able to increase their income from being a LF and 94.4 percent believed that their trainees were also able to earn more income as a result of the new farming techniques that they learned. To improve upon their activities, 57 percent of LFs collaborated with government extension agents. In addition, some LFs met among themselves, mostly once a month.Since they started their work as LFs, each one had trained on average 231 farmers (median = 100). In the year before the interview, LFs had trained on average 58 farmers (median = 17). There was no significant difference between male and female LFs concerning the numbers of farmers trained. Female LFs trained more women compared to their male colleagues (74percent against 41 percent of trainees being women, respectively). Overall, 53.7 percent of farmers trained in the past year were female.Almost all LFs (98.1 percent) mentioned at least one topic that they successfully passed on to their trainees. However, 86.9 percent of LFs also cited topics for which training was less successful.The number of female and male LFs trained in the past year were not significantly different. Female LFs seemed to work more with individual farmers than their male counterparts. When working with groups, they mostly associated with one group only while men LFs worked with five groups on average. Female LFs also tended to train more farmers in their own houses/farms than men LFs, who trained more in community halls and in the trainees’ houses/farms.Altruism, increasing one’s income and getting early access to new technologies were the main motivations for LFs to become or remain LFs. A majority (60 percent) of LFs found the F2F approach to be very useful for developing local capacity, increasing technology adoption and increasing access to extension. Identified challenges were budget limitations, insufficient transportation and lack of communication support.Almost all LFs (94 percent) reported their intention to continue to train fellow farmers even after organizations working with them leave or the projects end. To improve the F2F approach and to make it beneficial to more farmers, 81 percent of LFs mentioned issues related to their motivation, such as “improving their conditions” and the desire to be supported in becoming real “model farmers”. Interview responses also indicate that there is a need to train more LFs and/or refresh their knowledge, especially in communication skills and improved agricultural practices, as well as to build awareness of authorities and projects/organizations of the importance of the F2F approach and to encourage more youth to join groups served by LFs.
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Social Sciences
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Agricultural extension; Gender; Rural advisory services; Voluntarism
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doi:10.34894/8NA9UV
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ACURIA project
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ACURIA was an empirical comparative research project aimed at identifying legal and procedural strategies, blockages and best practices that can be replicated or prevented in different legal and judicial systems regarding business failure and insolvency, therefore enabling courts to provide a more accurate and fair response in that context. The participating jurisdictions were Portugal, Italy, Poland, and the Netherlands. This project has been completed.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Insolvency Courts; Insolvency Judges; Insolvency Law'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'ACURIA project' Description:'ACURIA was an empirical comparative research project aimed at identifying legal and procedural strategies, blockages and best practices that can be replicated or prevented in different legal and judicial systems regarding business failure and insolvency, therefore enabling courts to provide a more accurate and fair response in that context. The participating jurisdictions were Portugal, Italy, Poland, and the Netherlands. This project has been completed.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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ACURIA was an empirical comparative research project aimed at identifying legal and procedural strategies, blockages and best practices that can be replicated or prevented in different legal and judicial systems regarding business failure and insolvency, therefore enabling courts to provide a more accurate and fair response in that context. The participating jurisdictions were Portugal, Italy, Poland, and the Netherlands. This project has been completed.
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Law
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Insolvency Courts; Insolvency Judges; Insolvency Law
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doi:10.34894/AP3IRR
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Results of exploratory study for doctoral research on consumer and digital content
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'For the purpose of problem exploration (how appropriate the current remedies in the BW (Burgerlijk wetboek) are for digital content agreements), first-year students were asked questions about four specific cases.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Consumer Law; Law; Tilburg University'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Results of exploratory study for doctoral research on consumer and digital content' Description:'For the purpose of problem exploration (how appropriate the current remedies in the BW (Burgerlijk wetboek) are for digital content agreements), first-year students were asked questions about four specific cases.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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For the purpose of problem exploration (how appropriate the current remedies in the BW (Burgerlijk wetboek) are for digital content agreements), first-year students were asked questions about four specific cases.
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Law
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Consumer Law; Law; Tilburg University
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doi:10.34894/B3DRL8
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Replication Data for: Onderzoek archivering websites gemeentes
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data behorend bij onderzoek naar wijze van archiveren van gemeentelijke websites.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Archiving; Municipality; Website'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Onderzoek archivering websites gemeentes' Description:'Data behorend bij onderzoek naar wijze van archiveren van gemeentelijke websites.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data behorend bij onderzoek naar wijze van archiveren van gemeentelijke websites.
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Law
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Archiving; Municipality; Website
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doi:10.34894/BCKFZ0
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Indonesian Cybercrime Verdicts of Electronic Information and Transaction Act (EITA)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The datasets present the list and summary of 26 Indonesian cybercrime verdicts under Electronic Information and Transaction Act, as of 15 June 2016. The summary contains: (1) case number; (2) indictment; (3) evidence; (4) evidential materials. The evidence only restricted on witness and expert.The indictment refers to EITA, Indonesian Criminal Law, or other Act. The evidence part emphasizes on witness and expert. It describes how many witnesses and experts that a team of prosecutor presented in a cybercrime case, and how many of them that defendant presented. The evidential material underscores those that could produce electronic evidence.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Act 11 of 2008 on Electronic Information and Transaction Act (EITA); Act 19 of 2016 on Amendment of Act 11 of 2008; cybercrime and cyberlaw; expert evidence'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Indonesian Cybercrime Verdicts of Electronic Information and Transaction Act (EITA)' Description:'The datasets present the list and summary of 26 Indonesian cybercrime verdicts under Electronic Information and Transaction Act, as of 15 June 2016. The summary contains: (1) case number; (2) indictment; (3) evidence; (4) evidential materials. The evidence only restricted on witness and expert.The indictment refers to EITA, Indonesian Criminal Law, or other Act. The evidence part emphasizes on witness and expert. It describes how many witnesses and experts that a team of prosecutor presented in a cybercrime case, and how many of them that defendant presented. The evidential material underscores those that could produce electronic evidence.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The datasets present the list and summary of 26 Indonesian cybercrime verdicts under Electronic Information and Transaction Act, as of 15 June 2016. The summary contains: (1) case number; (2) indictment; (3) evidence; (4) evidential materials. The evidence only restricted on witness and expert.The indictment refers to EITA, Indonesian Criminal Law, or other Act. The evidence part emphasizes on witness and expert. It describes how many witnesses and experts that a team of prosecutor presented in a cybercrime case, and how many of them that defendant presented. The evidential material underscores those that could produce electronic evidence.
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Law
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Act 11 of 2008 on Electronic Information and Transaction Act (EITA); Act 19 of 2016 on Amendment of Act 11 of 2008; cybercrime and cyberlaw; expert evidence
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doi:10.34894/BFDG99
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CRC General Comments 'Tobacco Control'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all General Comments of the Committee on the Rights of the Child up until April 2019. Search terms used include *tobacco, *smoking/smoke, *health, *well-being, *lifestyle/life. All reports are referenced by date of publication and hyperlinked. Main results are published in MEC Gispen and BCA Toebes, 'The Human Rights of Children in Tobacco Control' (2019) 41 Human Rights Quarterly 340. Contributors: M.E.C. Gispen and N. Rusli. All rights reserved. For further information, contact [email protected]' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Children; Health; Lifestyle; Smoking; Tobacco; Well-being'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'CRC General Comments 'Tobacco Control'' Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all General Comments of the Committee on the Rights of the Child up until April 2019. Search terms used include *tobacco, *smoking/smoke, *health, *well-being, *lifestyle/life. All reports are referenced by date of publication and hyperlinked. Main results are published in MEC Gispen and BCA Toebes, 'The Human Rights of Children in Tobacco Control' (2019) 41 Human Rights Quarterly 340. Contributors: M.E.C. Gispen and N. Rusli. All rights reserved. For further information, contact [email protected]' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all General Comments of the Committee on the Rights of the Child up until April 2019. Search terms used include *tobacco, *smoking/smoke, *health, *well-being, *lifestyle/life. All reports are referenced by date of publication and hyperlinked. Main results are published in MEC Gispen and BCA Toebes, 'The Human Rights of Children in Tobacco Control' (2019) 41 Human Rights Quarterly 340. Contributors: M.E.C. Gispen and N. Rusli. All rights reserved. For further information, contact [email protected]
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Law
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Children; Health; Lifestyle; Smoking; Tobacco; Well-being
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doi:10.34894/DQXHTJ
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CRC State reports 'Tobacco control'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all state reports submitted to the Committee on the Rights of the Child up until March 2018. Search terms used include *tobacco, *smoking. All reports are referenced by date of publication and hyperlinked. Main results are published in M.E.C. Gispen and B.C.A. Toebes, 'The Human Rights of Children in Tobacco Control' (2019) Human Rights Quarterly (accepted, appears in May 2019 issue). Contibutors: M.E.C. Gispen, M.A. Beyer, J.V. Veraldi, N. Rusli, and B.C.A. Toebes. All rights reserved.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Convention on the Rights of the Child; Rights of the Child; Smoking; State Reports; Tobacco'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'CRC State reports 'Tobacco control'' Description:'This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all state reports submitted to the Committee on the Rights of the Child up until March 2018. Search terms used include *tobacco, *smoking. All reports are referenced by date of publication and hyperlinked. Main results are published in M.E.C. Gispen and B.C.A. Toebes, 'The Human Rights of Children in Tobacco Control' (2019) Human Rights Quarterly (accepted, appears in May 2019 issue). Contibutors: M.E.C. Gispen, M.A. Beyer, J.V. Veraldi, N. Rusli, and B.C.A. Toebes. All rights reserved.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This data set has been developed as part of a three-year study into children's rights and tobacco control carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Cancer Society. The sponsor has not been involved in any of the study design, data collection and analysis nor writing of any product based on this database. Methods include systematic searches of all state reports submitted to the Committee on the Rights of the Child up until March 2018. Search terms used include *tobacco, *smoking. All reports are referenced by date of publication and hyperlinked. Main results are published in M.E.C. Gispen and B.C.A. Toebes, 'The Human Rights of Children in Tobacco Control' (2019) Human Rights Quarterly (accepted, appears in May 2019 issue). Contibutors: M.E.C. Gispen, M.A. Beyer, J.V. Veraldi, N. Rusli, and B.C.A. Toebes. All rights reserved.
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Law
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Convention on the Rights of the Child; Rights of the Child; Smoking; State Reports; Tobacco
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doi:10.34894/FK8YKR
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Dataset: Novel Smoke Free Zones
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'As part of a tobacco endgame strategy, existing smoke-free regulations in enclosed public places are now being expanded in various places across the globe to also cover outdoor and private spaces, henceforth referred to as novel smoke-free policies. The dataset constitutes a mapping of examples of novel smoke-free policies from around the globe on the basis of different types of smoke-free spaces. The aspiration of the database is not to exhaustively list all the novel smoke-free policies around the globe but to demonstrate the significant, versatile and growing implementation of novel smoke-free policies worldwide.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'health; smoke-free zones; smoking.; tobacco control'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Dataset: Novel Smoke Free Zones' Description:'As part of a tobacco endgame strategy, existing smoke-free regulations in enclosed public places are now being expanded in various places across the globe to also cover outdoor and private spaces, henceforth referred to as novel smoke-free policies. The dataset constitutes a mapping of examples of novel smoke-free policies from around the globe on the basis of different types of smoke-free spaces. The aspiration of the database is not to exhaustively list all the novel smoke-free policies around the globe but to demonstrate the significant, versatile and growing implementation of novel smoke-free policies worldwide.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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As part of a tobacco endgame strategy, existing smoke-free regulations in enclosed public places are now being expanded in various places across the globe to also cover outdoor and private spaces, henceforth referred to as novel smoke-free policies. The dataset constitutes a mapping of examples of novel smoke-free policies from around the globe on the basis of different types of smoke-free spaces. The aspiration of the database is not to exhaustively list all the novel smoke-free policies around the globe but to demonstrate the significant, versatile and growing implementation of novel smoke-free policies worldwide.
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Law
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health; smoke-free zones; smoking.; tobacco control
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doi:10.34894/I4ZX4G
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Replication Data for: supervision orders, civil and penal, per year per district court in the Netherlands
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Child protection measure; Council for Child Protection; Family supervision order; Guardianship Board; Juvenile judge'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: supervision orders, civil and penal, per year per district court in the Netherlands' Description:'Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level
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Law
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Child protection measure; Council for Child Protection; Family supervision order; Guardianship Board; Juvenile judge
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doi:10.34894/I4ZX4G
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Replication Data for: supervision orders, civil and penal, per year per district court in the Netherlands
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Child protection measure; Council for Child Protection; Family supervision order; Guardianship Board; Juvenile judge'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: supervision orders, civil and penal, per year per district court in the Netherlands' Description:'Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Development of number of supervisions over the years 1923-1995 at national (The Netherlands) and regional (Groningen) level
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Social Sciences
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Child protection measure; Council for Child Protection; Family supervision order; Guardianship Board; Juvenile judge
|
doi:10.34894/JSS5TU
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Replication Data for: State of Emergency Mapping Database (STEM)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'State of Emergency'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State of Emergency Mapping Database (STEM)' Description:'The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.
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Law
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State of Emergency
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doi:10.34894/JSS5TU
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Replication Data for: State of Emergency Mapping Database (STEM)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'State of Emergency'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: State of Emergency Mapping Database (STEM)' Description:'The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The State of Emergency Mapping Project has completed Phase 2, by extending the database from 16 to 21 years of coverage – the period 1995-2015. With more than 300 entries on human rights derogations, their causes, duration etc., this extended version of the original database provides deeper insights into the causes and effects of emergency declarations.
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Social Sciences
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State of Emergency
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doi:10.34894/M2O6D9
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Dataset: Tobacco Control in the Conclusions of the CoE European Committee of Social Rights
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The present dataset presents the Conclusions of the European Committee of Social Rights of the Council of Europe in the context of the reporting system of the European Social Charter on the issue of tobacco control. To our knowledge, this is the first mapping on the matter and it aspires to demonstrate the extent to which tobacco control connects to the implementation of human rights’ obligations and in particular to the monitoring of the rights enshrined in the European Social Charter.The dataset has been developed as part the study into novel smoke-free policies carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Heart Foundation, the Lung Foundation Netherlands, the Dutch CancerSociety, the Dutch Diabetes Research Foundation & the Netherlands Thrombosis Foundation.Methods include systematic searches of the ECSR’ Conclusions that are publicly available on HUDOC-ESC until December 2020.The relevant sources are hyperlinked. Search terms used include *tobacco, *smoking, *cigarette, *smoke (excl *black smoke, *industrial smoke etc).The funders have not been involved in any of the study design, data collection and analysis.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'health; smoke-free zones; smoking.; tobacco control'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Dataset: Tobacco Control in the Conclusions of the CoE European Committee of Social Rights' Description:'The present dataset presents the Conclusions of the European Committee of Social Rights of the Council of Europe in the context of the reporting system of the European Social Charter on the issue of tobacco control. To our knowledge, this is the first mapping on the matter and it aspires to demonstrate the extent to which tobacco control connects to the implementation of human rights’ obligations and in particular to the monitoring of the rights enshrined in the European Social Charter.The dataset has been developed as part the study into novel smoke-free policies carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Heart Foundation, the Lung Foundation Netherlands, the Dutch CancerSociety, the Dutch Diabetes Research Foundation & the Netherlands Thrombosis Foundation.Methods include systematic searches of the ECSR’ Conclusions that are publicly available on HUDOC-ESC until December 2020.The relevant sources are hyperlinked. Search terms used include *tobacco, *smoking, *cigarette, *smoke (excl *black smoke, *industrial smoke etc).The funders have not been involved in any of the study design, data collection and analysis.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The present dataset presents the Conclusions of the European Committee of Social Rights of the Council of Europe in the context of the reporting system of the European Social Charter on the issue of tobacco control. To our knowledge, this is the first mapping on the matter and it aspires to demonstrate the extent to which tobacco control connects to the implementation of human rights’ obligations and in particular to the monitoring of the rights enshrined in the European Social Charter.The dataset has been developed as part the study into novel smoke-free policies carried out at the Global Health Law Groningen Research Centre of the University of Groningen and is financed by the Dutch Heart Foundation, the Lung Foundation Netherlands, the Dutch CancerSociety, the Dutch Diabetes Research Foundation & the Netherlands Thrombosis Foundation.Methods include systematic searches of the ECSR’ Conclusions that are publicly available on HUDOC-ESC until December 2020.The relevant sources are hyperlinked. Search terms used include *tobacco, *smoking, *cigarette, *smoke (excl *black smoke, *industrial smoke etc).The funders have not been involved in any of the study design, data collection and analysis.
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Law
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health; smoke-free zones; smoking.; tobacco control
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doi:10.34894/NFECFD
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Datasets Judicial Review Cases of KUHAP Provisions Year 2006 to 2016
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset presents the list and excerpt of 49 judicial review cases in Constitutional Court of Republic of Indonesia from 2006 to 28 September 2016 that challenge the constitutionality of Indonesian Criminal Procedural Law (Act 8/1981 or KUHAP). The excerpt consists of:(1) Case Number;(2) Status of Applicant;(3) Articles of KUHAP (that were reviewed by Constitutional Court);(4) Court's verdict (Overruled, Declared Inadmissible, Granted, and Partially Granted);(5) Court's Main Consideration.It also lists the articles of KUHAP (and their frequency of attempts) that the Applicants brought to Indonesian Constitutional Court. The articles are divided into four categories (Investigation, Prosecution, Trial, and Mix).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Indonesian Constitutional Court (Mahkamah Konstitusi); Indonesian Criminal Procedural Law (KUHAP)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Datasets Judicial Review Cases of KUHAP Provisions Year 2006 to 2016' Description:'The dataset presents the list and excerpt of 49 judicial review cases in Constitutional Court of Republic of Indonesia from 2006 to 28 September 2016 that challenge the constitutionality of Indonesian Criminal Procedural Law (Act 8/1981 or KUHAP). The excerpt consists of:(1) Case Number;(2) Status of Applicant;(3) Articles of KUHAP (that were reviewed by Constitutional Court);(4) Court's verdict (Overruled, Declared Inadmissible, Granted, and Partially Granted);(5) Court's Main Consideration.It also lists the articles of KUHAP (and their frequency of attempts) that the Applicants brought to Indonesian Constitutional Court. The articles are divided into four categories (Investigation, Prosecution, Trial, and Mix).' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The dataset presents the list and excerpt of 49 judicial review cases in Constitutional Court of Republic of Indonesia from 2006 to 28 September 2016 that challenge the constitutionality of Indonesian Criminal Procedural Law (Act 8/1981 or KUHAP). The excerpt consists of:(1) Case Number;(2) Status of Applicant;(3) Articles of KUHAP (that were reviewed by Constitutional Court);(4) Court's verdict (Overruled, Declared Inadmissible, Granted, and Partially Granted);(5) Court's Main Consideration.It also lists the articles of KUHAP (and their frequency of attempts) that the Applicants brought to Indonesian Constitutional Court. The articles are divided into four categories (Investigation, Prosecution, Trial, and Mix).
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Law
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Indonesian Constitutional Court (Mahkamah Konstitusi); Indonesian Criminal Procedural Law (KUHAP)
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doi:10.34894/NNRX8P
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Consequences of different addiction perspectives on the assessment of criminal responsibility
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Addiction debate; Criminal responsibility; Neurolaw'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Consequences of different addiction perspectives on the assessment of criminal responsibility' Description:'Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.
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Law
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Addiction debate; Criminal responsibility; Neurolaw
|
doi:10.34894/NNRX8P
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Consequences of different addiction perspectives on the assessment of criminal responsibility
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Addiction debate; Criminal responsibility; Neurolaw'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Consequences of different addiction perspectives on the assessment of criminal responsibility' Description:'Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Discussions on the conceptualization of addiction are ongoing, most commonly by presenting a dichotomy between the Brain Disease Model and the Choice Model. In practice, the debate may extend beyond the social sciences to the field of law. This study tests the consequences of presenting two different perspectives on addiction in criminal courts, by using vignettes of an addicted offender, who committed either a property or a violent offence. The vignettes were presented to 171 criminal law students and 109 public prosecutors from the Netherlands, who had to judge the degree of accountability (the Dutch insanity defence equivalence), the sentence length and recidivism risk of the offender. This study found that accountability was judged significantly lower when participants were presented with a neuroscientific perspective on addiction as opposed to a choice-centred explanation. No differences were found for the other outcome variables. Exploratory analysis suggests that students are more lenient than professionals. The findings confirm the hypothesis that a neuroscientific explanation of addiction may have exculpatory effects, although this effect is limited to the assessment of excuses. This has practical implications for legal professionals. The potential difference between samples has implications for future research using students as main participants.
|
Social Sciences
|
Addiction debate; Criminal responsibility; Neurolaw
|
doi:10.34894/SHPLTP
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The Information Paradigm in EU Consumer Law in Numbers
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The information paradigm resulting from EU consumer law has multiple flaws when it comes to consumer protection. Academics have suggested numerous solutions to these shortcomings, including the abandonment of mandated disclosure. A part of the literature claims or implies that the information paradigm needs to be revised or replaced in order to sufficiently address its shortcomings. Nevertheless, both the EU and the stakeholders seem interested in keeping pre-contractual information duties as a regulatory mechanism. Considering this, the departure point of any discussion on the improvement of the EU law-based information paradigm is the existing information duties. This step is, however, often disregarded in the literature. When it is not disregarded, the description of the information paradigm is based on examples of specific provisions in specific Directives in specific areas. This paints a partial picture of the information paradigm. This study intends to characterize the information paradigm from a broader, more comprehensive perspective. In that sense, this dataset includes approximately 1500 observations (pre-contractual duties to inform) that were coded according to 8 variables. The goal of the study was to identify the main traits and conceptual limits of the information paradigm in EU consumer law. This dataset is the result of a study of pre-contractual duties to inform in EU consumer law, in the context of my PhD research.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Consumer law; European Union Law; Information duties'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'The Information Paradigm in EU Consumer Law in Numbers' Description:'The information paradigm resulting from EU consumer law has multiple flaws when it comes to consumer protection. Academics have suggested numerous solutions to these shortcomings, including the abandonment of mandated disclosure. A part of the literature claims or implies that the information paradigm needs to be revised or replaced in order to sufficiently address its shortcomings. Nevertheless, both the EU and the stakeholders seem interested in keeping pre-contractual information duties as a regulatory mechanism. Considering this, the departure point of any discussion on the improvement of the EU law-based information paradigm is the existing information duties. This step is, however, often disregarded in the literature. When it is not disregarded, the description of the information paradigm is based on examples of specific provisions in specific Directives in specific areas. This paints a partial picture of the information paradigm. This study intends to characterize the information paradigm from a broader, more comprehensive perspective. In that sense, this dataset includes approximately 1500 observations (pre-contractual duties to inform) that were coded according to 8 variables. The goal of the study was to identify the main traits and conceptual limits of the information paradigm in EU consumer law. This dataset is the result of a study of pre-contractual duties to inform in EU consumer law, in the context of my PhD research.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The information paradigm resulting from EU consumer law has multiple flaws when it comes to consumer protection. Academics have suggested numerous solutions to these shortcomings, including the abandonment of mandated disclosure. A part of the literature claims or implies that the information paradigm needs to be revised or replaced in order to sufficiently address its shortcomings. Nevertheless, both the EU and the stakeholders seem interested in keeping pre-contractual information duties as a regulatory mechanism. Considering this, the departure point of any discussion on the improvement of the EU law-based information paradigm is the existing information duties. This step is, however, often disregarded in the literature. When it is not disregarded, the description of the information paradigm is based on examples of specific provisions in specific Directives in specific areas. This paints a partial picture of the information paradigm. This study intends to characterize the information paradigm from a broader, more comprehensive perspective. In that sense, this dataset includes approximately 1500 observations (pre-contractual duties to inform) that were coded according to 8 variables. The goal of the study was to identify the main traits and conceptual limits of the information paradigm in EU consumer law. This dataset is the result of a study of pre-contractual duties to inform in EU consumer law, in the context of my PhD research.
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Law
|
Consumer law; European Union Law; Information duties
|
doi:10.34894/SRSB8I
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Addiction in Dutch criminal cases
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Addiction; Criminal law; Criminal responsibility'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Addiction in Dutch criminal cases' Description:'During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.
|
Law
|
Addiction; Criminal law; Criminal responsibility
|
doi:10.34894/SRSB8I
|
Addiction in Dutch criminal cases
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Addiction; Criminal law; Criminal responsibility'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Addiction in Dutch criminal cases' Description:'During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
During four months, several courts were visited to study the role of addiction in criminal cases in full detail. Whereas the analysis of addiction and criminal law in the previous chapters concerned a doctrinal and theoretical perspective, this chapter extends the discussion into the law in action by studying criminal cases with addicted offenders. As discussed, there are in principle several doctrinal possibilities in which addition may play a role. However, the question remains to what extent these possibilities are employed in practice. To gain more insight into the practical approach of addiction in criminal law, a thorough case law analysis is necessary. The goal of this study is to investigate in which tier of the criminal liability structure , and by whom, the addiction of the defendant is discussed, and whether neuroscientific information is used in that regard, and if so, in what way.
|
Social Sciences
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Addiction; Criminal law; Criminal responsibility
|
doi:10.34894/ULCIFO
|
Survey experiment multi-option ballot question structures
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This survey experiments analyses the effects of different ballot question structures on voting behaviour. Two types of questions are posed on the topic of reducing the maximum speed limit: one with ordinal alternatives (various speed limits) and one with categorical alternatives (alternative scenarios for applying speed limits). Respondents are questioned on these alternatives using two question structures: a single multi-option question and multiple binary questions. The experimental data can be used to analyse to which extent the question type, ballot question structure and order in which alternatives are offered affect voting behaviour.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ballot structure; Referendum; Social Sciences; Tilburg University; Voting behaviour'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Survey experiment multi-option ballot question structures' Description:'This survey experiments analyses the effects of different ballot question structures on voting behaviour. Two types of questions are posed on the topic of reducing the maximum speed limit: one with ordinal alternatives (various speed limits) and one with categorical alternatives (alternative scenarios for applying speed limits). Respondents are questioned on these alternatives using two question structures: a single multi-option question and multiple binary questions. The experimental data can be used to analyse to which extent the question type, ballot question structure and order in which alternatives are offered affect voting behaviour.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This survey experiments analyses the effects of different ballot question structures on voting behaviour. Two types of questions are posed on the topic of reducing the maximum speed limit: one with ordinal alternatives (various speed limits) and one with categorical alternatives (alternative scenarios for applying speed limits). Respondents are questioned on these alternatives using two question structures: a single multi-option question and multiple binary questions. The experimental data can be used to analyse to which extent the question type, ballot question structure and order in which alternatives are offered affect voting behaviour.
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Law
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Ballot structure; Referendum; Social Sciences; Tilburg University; Voting behaviour
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doi:10.34894/VUE37U
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De toepassing van gebiedsverboden op grond van de gewijzigde Wet MBVEO in de praktijk.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Onderzoek tijdens de Masterstudie, door Mirjam Tuk en Laura van den Bor. De data betreft resultaten van een enquête en interviews.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Gebiedsverbod, Area Ban,'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'De toepassing van gebiedsverboden op grond van de gewijzigde Wet MBVEO in de praktijk.' Description:'Onderzoek tijdens de Masterstudie, door Mirjam Tuk en Laura van den Bor. De data betreft resultaten van een enquête en interviews.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Onderzoek tijdens de Masterstudie, door Mirjam Tuk en Laura van den Bor. De data betreft resultaten van een enquête en interviews.
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Law
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Gebiedsverbod, Area Ban,
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doi:10.34894/Y2SHRZ
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Phylogeny of the Unpaid Seller’s Right to Vindicate Goods / Een fylogenetische analyse van de prijsbetalingsregel
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This contribution applies computational phylogenetics, the quantitative study of the evolutionary history of organisms, to the vexed history of the price payment-rule. This rule makes the transfer of movable property dependent on the buyer’s payment of the price. The study provides a dataset of 56 variations of the price payment-rule from 41 different jurisdictions drafted between the years 150 and 2006. Using Mesquite, these variations are quantified as phylogenetic trees and subsequently analysed to draw conclusions about their common history. The study is set up as a test study to explore the potential of computational phylogenetics in law. / Deze bijdrage tracht om nieuw licht te werpen op de omstreden geschiedenis van de prijsbetalingsregel. Hiertoe wordt een nieuwe methode beproefd . Deze methode is gebaseerd op kwantitatieve fylogenetica, de computationele studie van de evolutie van organismen. De studie identificeert 56 varianten van de prijsbetalingsregel uit 41 verschillende jurisdicties uit de periode tussen 150 en 2006. Met gebruikmaking van Mesquite worden vier fylogenetische stambomen gepresenteerd op basis waarvan conclusies worden getrokken over hun mate van verwantschap. De studie is opgezet als een experiment om het potentieel van de computationele fylogenetica te testen.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Phylogeny; Unpaid seller; fylogenie; onbetaalde verkoper'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Phylogeny of the Unpaid Seller’s Right to Vindicate Goods / Een fylogenetische analyse van de prijsbetalingsregel' Description:'This contribution applies computational phylogenetics, the quantitative study of the evolutionary history of organisms, to the vexed history of the price payment-rule. This rule makes the transfer of movable property dependent on the buyer’s payment of the price. The study provides a dataset of 56 variations of the price payment-rule from 41 different jurisdictions drafted between the years 150 and 2006. Using Mesquite, these variations are quantified as phylogenetic trees and subsequently analysed to draw conclusions about their common history. The study is set up as a test study to explore the potential of computational phylogenetics in law. / Deze bijdrage tracht om nieuw licht te werpen op de omstreden geschiedenis van de prijsbetalingsregel. Hiertoe wordt een nieuwe methode beproefd . Deze methode is gebaseerd op kwantitatieve fylogenetica, de computationele studie van de evolutie van organismen. De studie identificeert 56 varianten van de prijsbetalingsregel uit 41 verschillende jurisdicties uit de periode tussen 150 en 2006. Met gebruikmaking van Mesquite worden vier fylogenetische stambomen gepresenteerd op basis waarvan conclusies worden getrokken over hun mate van verwantschap. De studie is opgezet als een experiment om het potentieel van de computationele fylogenetica te testen.' Subject:'Law. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This contribution applies computational phylogenetics, the quantitative study of the evolutionary history of organisms, to the vexed history of the price payment-rule. This rule makes the transfer of movable property dependent on the buyer’s payment of the price. The study provides a dataset of 56 variations of the price payment-rule from 41 different jurisdictions drafted between the years 150 and 2006. Using Mesquite, these variations are quantified as phylogenetic trees and subsequently analysed to draw conclusions about their common history. The study is set up as a test study to explore the potential of computational phylogenetics in law. / Deze bijdrage tracht om nieuw licht te werpen op de omstreden geschiedenis van de prijsbetalingsregel. Hiertoe wordt een nieuwe methode beproefd . Deze methode is gebaseerd op kwantitatieve fylogenetica, de computationele studie van de evolutie van organismen. De studie identificeert 56 varianten van de prijsbetalingsregel uit 41 verschillende jurisdicties uit de periode tussen 150 en 2006. Met gebruikmaking van Mesquite worden vier fylogenetische stambomen gepresenteerd op basis waarvan conclusies worden getrokken over hun mate van verwantschap. De studie is opgezet als een experiment om het potentieel van de computationele fylogenetica te testen.
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Law
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Phylogeny; Unpaid seller; fylogenie; onbetaalde verkoper
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doi:10.34894/ZUWAPS
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EXCEPTIUS Corpus
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'EXCEPTIUS Corpus' Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.
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Arts and Humanities
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Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2
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doi:10.34894/ZUWAPS
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EXCEPTIUS Corpus
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'EXCEPTIUS Corpus' Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.
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Law
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Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2
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doi:10.34894/ZUWAPS
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EXCEPTIUS Corpus
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'EXCEPTIUS Corpus' Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.' Subject:'Arts and Humanities; Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class.The Italy and Norway folder misses the predictions of the models.
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Social Sciences
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Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2
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doi:10.5064/F6JOQXNF
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Data for: Debating Algorithmic Fairness
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'criminality prediction; racism; recidivism; risk assessment'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Data for: Debating Algorithmic Fairness' Description:'This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.
|
Law
|
criminality prediction; racism; recidivism; risk assessment
|
doi:10.5064/F6JOQXNF
|
Data for: Debating Algorithmic Fairness
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'criminality prediction; racism; recidivism; risk assessment'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Data for: Debating Algorithmic Fairness' Description:'This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the Publisher's Website. Data GenerationThe research project engages a story about perceptions of fairness in criminal justicedecisions. The specific focus involves a debate between ProPublica, a news organization, and Northpointe, the owner of a popular risk tool called COMPAS. ProPublica wrote that COMPAS was racist against blacks, while Northpointe posted online a reply rejecting such a finding. These two documents were the obvious foci of the qualitative analysis because of the further media attention they attracted, the confusion their competing conclusions caused readers, and the power both companies wield in public circles. There were no barriers to retrieval as both documents have been publicly available on their corporate websites. This public access was one of the motivators for choosing them as it meant that they were also easily attainable by thegeneral public, thus extending the documents’ reach and impact. Additional materials from ProPublica relating to the main debate were also freely downloadable from its website and a third party, open source platform. Access to secondary source materials comprising additional writings from Northpointe representatives that could assist in understanding Northpointe’s main document, though, was more limited. Because of aclaim of trade secrets on its tool and the underlying algorithm, it was more difficult to reach Northpointe’s other reports. Nonetheless, largely because its clients are governmental bodies with transparency and accountability obligations, some of Northpointe-associated reports were retrievable from third parties who had obtained them, largely through Freedom of Information Act queries. Together, the primary and (retrievable) secondary sources allowed for a triangulation of themes, arguments, and conclusions.The quantitative component uses a dataset of over 7,000 individuals with information that was collected and compiled by ProPublica and made available to the public on github. ProPublica’s gathering the data directly from criminal justice officials via Freedom of Information Act requests rendered the dataset in the public domain, and thus no confidentiality issues are present. The dataset was loaded into SPSS v. 25 for data analysis.Data AnalysisThe qualitative enquiry used critical discourse analysis, which investigates waysin which parties in their communications attempt to create, legitimate, rationalize, and control mutual understandings of important issues. Each of the two main discourse documents was parsed on its own merit. Yet the project was also intertextual in studying how the discourses correspond with each other and to other relevant writings by the same authors. Several more specific types of discursive strategies were of interest in attracting further critical examination:Testing claims and rationalizations that appear to serve the speaker’s self-interestExamining conclusions and determining whether sufficient evidence supported themRevealing contradictions and/or inconsistencies within the same text and intertextuallyAssessing strategies underlying justifications and rationalizations used to promote aparty’s assertions and argumentsNoticing strategic deployment of lexical phrasings, syntax, and rhetoricJudging sincerity of voice and the objective consideration of alternative perspectivesOf equal importance in a critical discourse analysis is consideration of what is not addressed, that is to uncover facts and/or topics missing from the communication. For this project, this included parsing issues that were either briefly mentioned and then neglected, asserted yet the significance left unstated, or not suggested at all. This task required understanding common practices in the algorithmic data science literature.The paper could have been completed with just the critical discourse analysis. However, because one of the salient findings from it highlighted that the discourses overlooked numerous definitions of algorithmic fairness, the call to fill this gap seemed obvious. Then, the availability of the same dataset used by the parties in conflict, made this opportunity more appealing. Calculating additional algorithmic equity equations would not thereby be troubled by irregularities because of diverse sample sets.New variables were created as relevant to calculate algorithmic fairness equations. Inaddition to using various SPSS Analyze functions (e.g., regression, crosstabs, means), online statistical calculators were useful to compute z-test comparisons of proportions and t-test comparisons of means.Logic of AnnotationAnnotations were employed to fulfil a variety of functions, including supplementing the main text with context, observations, counter-points, analysis, and source attributions. These fall under a few categories.Space considerations. Critical discourse analysis offers a rich method for studying speech and text. The discourse analyst wishes not simply to describe, but to critically assess, explain, and offer insights about the underlying discourses. In practice, this often means the researcher generates far more material than can comfortably be included in the final paper. As a result, many draft passages, evaluations, and issues typically need to be excised. Annotation offered opportunities to incorporate dozens of findings, explanations, and supporting materials that otherwise would have been redacted. Readers wishing to learn more than within the four corners of the official, published article can review these supplementary offerings through thelinks.Visuals. The annotations use multiple data sources to provide visuals to explain, illuminate, or otherwise contextualize particular points in the main body of the paper and/or in the analytic notes. For example, a conclusion that the tool was not calibrated the same for blacks and whites could be better understand with reference to a graph to observe the differences in the range of risk scores comparing these two groups. Overall, the visuals deployed here include graphs, screenshots, page extracts, diagrams, and statistical software output. Context. The data for the qualitative segment involved long discourses. Thus, annotations were employed to embed longer portions of quotations from the source material than was justified in the main text. This allows the reader to confirm whether quotations were taken in proper context, and thus hold the author accountable for potential errors in this regard. Sources. Annotations incorporated extra source materials, along with quotations from them to aid the discussion. Sources that carried some indication that they may not be permanently available in the same form and in available formats were more likely to be archived and activated. This practice helps ensure that readers continue to have access to third party materials as relied upon in the research for transparency and authentication purposes.
|
Social Sciences
|
criminality prediction; racism; recidivism; risk assessment
|
doi:10.5064/F6PHDAOA
|
Data for: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'human rights; law; politics; transitional justice'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Data for: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America' Description:'Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename
|
Law
|
human rights; law; politics; transitional justice
|
doi:10.5064/F6PHDAOA
|
Data for: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'human rights; law; politics; transitional justice'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Data for: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America' Description:'Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data OverviewAll documents contained in this entry were collected for a project that sought to explain variation in the scope and effectiveness of human rights prosecutions in contemporary Latin America. The project led to two main publications: Shifting Legal Visions: Judicial Change and Human Rights Trials in Latin America (Cambridge University Press, 2016);“Persuade Them or Oust Them: Crafting Judicial Change and Transitional Justice in Argentina” in Comparative Politics, 46(4): 279-298. The main argument developed in these publications is that a crucial pre-condition for widespread and sustained human rights trials is a change in the legal preferences of judges and prosecutors, such that they become more knowledgeable and accepting of international human rights law and innovative investigative techniques attuned to the specificities of human rights crimes. These changes are brought about by victims and their lawyers when they deploy very specific strategies of legal mobilisation. The book traces changes or continuities in legal preferences in three countries: Argentina, Peru, and Mexico.Data OrganizationThis project includes some of the primary data used in the aforementioned publications. Specifically, three different types of files, distinguished by filename:Rulings handed down by Argentine courts. One type of document (Argentina_CSJ) contains a selection of rulings handed down by the Argentine Supreme Court on important questions such as the constitutionality of amnesty laws or pardons. I also included briefs on key rulings published by the Supreme Court. A second type (Argentina_TOF) groups some of the rulings handed down by Federal Oral Tribunals (Tribunales Orales Federales) during the wave of trials that started in the mid-2000s. A third type of document (Argentina_CABA) groups rulings handed down by an appeals court in the City of Buenos Aires in the mid-1990s, which I used to trace changes in the way judges understood the “right to truth” as litigants stepped up their strategies of legal preference change.Documents from the archives of the Centro de Estudios Legales y Sociales (CELS), a leading human rights NGO in Argentina (https://www.cels.org.ar/web/). These documents contain Argentina_CELS in their filenames. I used these files to trace victims’ efforts to transform legal preferences between 1992 and 1996. These efforts consisted of pedagogical activities designed to spread awareness of international human rights law among judges, prosecutors, and their clerks. The documents include: correspondence between CELS, donors, and participants in preparation for the seminars; list of panels and talks; transcripts of lectures and seminar discussions; reports written after the events took place; and lists of participants.News articles from several Mexican outlets. I collected a series of news articles from a variety of Mexican outlets to trace the main contours of the debate about transitional justice during the 2000 presidential campaign, the transition period once President Fox was elected, and the early years of the Fox administration. The news archive should be useful for anyone interested in process tracing the Mexican transition to democracy. The articles are stored in spreadsheets that contain their title, date of publication, URL, and a link to a copy of the article in an internet archive (perma.cc). These files contain Mexico_NewsArchive in their filename
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Social Sciences
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human rights; law; politics; transitional justice
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doi:10.5064/F6TD9V7G
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Constitute: Constitutional text for scholars and drafters
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet). ' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'civil rights; comparative institutions; constitutions; law; political systems; text data'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Constitute: Constitutional text for scholars and drafters' Description:'Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet). ' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet).
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Law
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civil rights; comparative institutions; constitutions; law; political systems; text data
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doi:10.5064/F6TD9V7G
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Constitute: Constitutional text for scholars and drafters
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet). ' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'civil rights; comparative institutions; constitutions; law; political systems; text data'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Constitute: Constitutional text for scholars and drafters' Description:'Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet). ' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017.Data AbstractThe data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org .Data ModelThe textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts.Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet).
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Social Sciences
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civil rights; comparative institutions; constitutions; law; political systems; text data
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doi:10.5064/F6UMRNAC
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Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'bilateral investment treaties; economic agreements; foreign investment; ICSID; investor-state arbitration; ISDS; treaties; World Bank'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences'' Description:'Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.
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Law
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bilateral investment treaties; economic agreements; foreign investment; ICSID; investor-state arbitration; ISDS; treaties; World Bank
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doi:10.5064/F6UMRNAC
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Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'bilateral investment treaties; economic agreements; foreign investment; ICSID; investor-state arbitration; ISDS; treaties; World Bank'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences'' Description:'Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nordo any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, Icombined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, andsecond, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.
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Social Sciences
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bilateral investment treaties; economic agreements; foreign investment; ICSID; investor-state arbitration; ISDS; treaties; World Bank
|
doi:10.7910/DVN/02UDNL
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Executive Agreements Database, Background Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of March 31, 1989, As Amended, Concerning the Acquisition and Production In Japan of the Sh-60j and Uh-60j Aircraft Effected By Exchange Of Notes Act Tokyo March 29, 1996
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Arms Export Control Act, 22 USC 2751 et seq; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution (commander in chief clause)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of March 31, 1989, As Amended, Concerning the Acquisition and Production In Japan of the Sh-60j and Uh-60j Aircraft Effected By Exchange Of Notes Act Tokyo March 29, 1996' Description:'KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo
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Law
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Arms Export Control Act, 22 USC 2751 et seq; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution (commander in chief clause)
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doi:10.7910/DVN/02UDNL
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Executive Agreements Database, Background Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of March 31, 1989, As Amended, Concerning the Acquisition and Production In Japan of the Sh-60j and Uh-60j Aircraft Effected By Exchange Of Notes Act Tokyo March 29, 1996
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Arms Export Control Act, 22 USC 2751 et seq; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution (commander in chief clause)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of March 31, 1989, As Amended, Concerning the Acquisition and Production In Japan of the Sh-60j and Uh-60j Aircraft Effected By Exchange Of Notes Act Tokyo March 29, 1996' Description:'KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 4565First signed 03/29/1996Last signed 03/29/1996Entry into force (supplemented by last signed) 03/29/1996stamped 96-75C06542420cover memo
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Social Sciences
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Arms Export Control Act, 22 USC 2751 et seq; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution (commander in chief clause)
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doi:10.7910/DVN/02ZEEN
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Executive Agreements Database, Statement Regarding the International Express Mail Agreement Between The United States Postal Service and The Postal Administration of Ethiopia. Agreement Signed At Addis Ababa, Ethiopia, On August 3, 1989, and Act Washington, D.C., On September 1, 1989.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'39 USC 407; Article 6 of the Universal Postal Convention, TIAS 10972; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the International Express Mail Agreement Between The United States Postal Service and The Postal Administration of Ethiopia. Agreement Signed At Addis Ababa, Ethiopia, On August 3, 1989, and Act Washington, D.C., On September 1, 1989.' Description:'TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo
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Law
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39 USC 407; Article 6 of the Universal Postal Convention, TIAS 10972; Highest Rating 1 (authorization to conclude agreements)
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doi:10.7910/DVN/02ZEEN
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Executive Agreements Database, Statement Regarding the International Express Mail Agreement Between The United States Postal Service and The Postal Administration of Ethiopia. Agreement Signed At Addis Ababa, Ethiopia, On August 3, 1989, and Act Washington, D.C., On September 1, 1989.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'39 USC 407; Article 6 of the Universal Postal Convention, TIAS 10972; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the International Express Mail Agreement Between The United States Postal Service and The Postal Administration of Ethiopia. Agreement Signed At Addis Ababa, Ethiopia, On August 3, 1989, and Act Washington, D.C., On September 1, 1989.' Description:'TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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TIAS 11954First signed 08/03/1989Last signed 09/01/1989Entry into force (supplemented by last signed) 09/01/1989C06544915cover memo
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Social Sciences
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39 USC 407; Article 6 of the Universal Postal Convention, TIAS 10972; Highest Rating 1 (authorization to conclude agreements)
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doi:10.7910/DVN/03U6SL
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Executive Agreements Database, Statement Concerning the Agreement with Indonesia Amending The Strategic Objective Grant Agreement Of August 30, 2004, As Amended, For Improved Quality Of Decentralized Basic Education In Indonesia, with Attachment. Signed At Jakarta August 22, 2008. Entered Into Force August 22, 2008
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 8490 cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Foreign Assistance Act of 1961, as amended; Highest Rating 1 ( authorization to conclude agreements); U.S. Constitution, Article II'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Indonesia Amending The Strategic Objective Grant Agreement Of August 30, 2004, As Amended, For Improved Quality Of Decentralized Basic Education In Indonesia, with Attachment. Signed At Jakarta August 22, 2008. Entered Into Force August 22, 2008' Description:'KAV 8490 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 8490 cover memo
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Law
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Foreign Assistance Act of 1961, as amended; Highest Rating 1 ( authorization to conclude agreements); U.S. Constitution, Article II
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doi:10.7910/DVN/03U6SL
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Executive Agreements Database, Statement Concerning the Agreement with Indonesia Amending The Strategic Objective Grant Agreement Of August 30, 2004, As Amended, For Improved Quality Of Decentralized Basic Education In Indonesia, with Attachment. Signed At Jakarta August 22, 2008. Entered Into Force August 22, 2008
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 8490 cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Foreign Assistance Act of 1961, as amended; Highest Rating 1 ( authorization to conclude agreements); U.S. Constitution, Article II'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Indonesia Amending The Strategic Objective Grant Agreement Of August 30, 2004, As Amended, For Improved Quality Of Decentralized Basic Education In Indonesia, with Attachment. Signed At Jakarta August 22, 2008. Entered Into Force August 22, 2008' Description:'KAV 8490 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 8490 cover memo
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Social Sciences
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Foreign Assistance Act of 1961, as amended; Highest Rating 1 ( authorization to conclude agreements); U.S. Constitution, Article II
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doi:10.7910/DVN/06P7WR
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Executive Agreements Database, Statement Regarding Agreement Between The United States and Slovenia For Scientific And Technological Cooperation Signed At Ljubljana June 21, 1999
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'22 USC 2656d; Highest Rating 2 (authorization to negotiate agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Slovenia For Scientific And Technological Cooperation Signed At Ljubljana June 21, 1999' Description:'TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo
|
Law
|
22 USC 2656d; Highest Rating 2 (authorization to negotiate agreements)
|
doi:10.7910/DVN/06P7WR
|
Executive Agreements Database, Statement Regarding Agreement Between The United States and Slovenia For Scientific And Technological Cooperation Signed At Ljubljana June 21, 1999
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'22 USC 2656d; Highest Rating 2 (authorization to negotiate agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Slovenia For Scientific And Technological Cooperation Signed At Ljubljana June 21, 1999' Description:'TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 13048First signed 06/21/1999Last signed 06/21/1999Entry into force (supplemented by last signed) 06/21/1999stamped 00-12C06536065cover memo
|
Social Sciences
|
22 USC 2656d; Highest Rating 2 (authorization to negotiate agreements)
|
doi:10.7910/DVN/0MLXNU
|
Executive Agreements Database, Background Statement Regarding Memorandum of Understanding Between The United States and The United Kingdom Concerning the Measures To Be Taken For The Transfer To and Security and Safeguarding Of MK-IV Radar Instrumentation System Technical Information, Software and Equipment In The United Kingdom Signed At Washington February 6, 1991
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 11834cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'50 USC 401, note 1; Arms Export Control Act; Executive Order 12356 of April 2, 1982; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Memorandum of Understanding Between The United States and The United Kingdom Concerning the Measures To Be Taken For The Transfer To and Security and Safeguarding Of MK-IV Radar Instrumentation System Technical Information, Software and Equipment In The United Kingdom Signed At Washington February 6, 1991' Description:'TIAS 11834cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 11834cover memo
|
Law
|
50 USC 401, note 1; Arms Export Control Act; Executive Order 12356 of April 2, 1982; Highest Rating 1 (authorization to conclude agreements)
|
doi:10.7910/DVN/0MLXNU
|
Executive Agreements Database, Background Statement Regarding Memorandum of Understanding Between The United States and The United Kingdom Concerning the Measures To Be Taken For The Transfer To and Security and Safeguarding Of MK-IV Radar Instrumentation System Technical Information, Software and Equipment In The United Kingdom Signed At Washington February 6, 1991
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 11834cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'50 USC 401, note 1; Arms Export Control Act; Executive Order 12356 of April 2, 1982; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Regarding Memorandum of Understanding Between The United States and The United Kingdom Concerning the Measures To Be Taken For The Transfer To and Security and Safeguarding Of MK-IV Radar Instrumentation System Technical Information, Software and Equipment In The United Kingdom Signed At Washington February 6, 1991' Description:'TIAS 11834cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 11834cover memo
|
Social Sciences
|
50 USC 401, note 1; Arms Export Control Act; Executive Order 12356 of April 2, 1982; Highest Rating 1 (authorization to conclude agreements)
|
doi:10.7910/DVN/07EZMT
|
Statement Concerning the Agreement with Sri Lanka Amending the Air Transport Agreement of June 11, 2002. Effected by exchange of notes Act Colombo September 6 and 12, 2006. Entered into Force September 12, 2006
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'49 USC 40105a; Highest Rating 5 (none of the above); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Statement Concerning the Agreement with Sri Lanka Amending the Air Transport Agreement of June 11, 2002. Effected by exchange of notes Act Colombo September 6 and 12, 2006. Entered into Force September 12, 2006' Description:'TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo
|
Law
|
49 USC 40105a; Highest Rating 5 (none of the above); U.S. Constitution, Article II
|
doi:10.7910/DVN/07EZMT
|
Statement Concerning the Agreement with Sri Lanka Amending the Air Transport Agreement of June 11, 2002. Effected by exchange of notes Act Colombo September 6 and 12, 2006. Entered into Force September 12, 2006
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'49 USC 40105a; Highest Rating 5 (none of the above); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Statement Concerning the Agreement with Sri Lanka Amending the Air Transport Agreement of June 11, 2002. Effected by exchange of notes Act Colombo September 6 and 12, 2006. Entered into Force September 12, 2006' Description:'TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 02-1118First signed 09/06/2006Last signed 09/12/2006Entry into force (supplemented by last signed) 09/12/2006stamped 06-235C06762237cover memo
|
Social Sciences
|
49 USC 40105a; Highest Rating 5 (none of the above); U.S. Constitution, Article II
|
doi:10.7910/DVN/0MNHLL
|
Executive Agreements Database, Statement Regarding the Air Transport Agreement Between The United States and Ghana, with Annexes Signed At Washington October 11, 2000 Entered Into Force August 17, 2001
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 13119cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'49 USC 40105 (a); Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Air Transport Agreement Between The United States and Ghana, with Annexes Signed At Washington October 11, 2000 Entered Into Force August 17, 2001' Description:'TIAS 13119cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 13119cover memo
|
Law
|
49 USC 40105 (a); Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/0MNHLL
|
Executive Agreements Database, Statement Regarding the Air Transport Agreement Between The United States and Ghana, with Annexes Signed At Washington October 11, 2000 Entered Into Force August 17, 2001
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'TIAS 13119cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'49 USC 40105 (a); Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Air Transport Agreement Between The United States and Ghana, with Annexes Signed At Washington October 11, 2000 Entered Into Force August 17, 2001' Description:'TIAS 13119cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 13119cover memo
|
Social Sciences
|
49 USC 40105 (a); Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/07MZOG
|
Statement Regarding Agreement Between The United States and Senegal Concerning the Status Of United States Military and Civilian Personnel of the U.S. Department Of Defense Temporarily Present In Senegal In Connection with Training, Humanitarian Relief Operations, Exercises and Other Agreed Activities Effected By Exchange Of Notes Act Dakar December 21, 2000 and January 11, 2001
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Highest Rating (Constitution only); U.S. Constitution, Article II (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Statement Regarding Agreement Between The United States and Senegal Concerning the Status Of United States Military and Civilian Personnel of the U.S. Department Of Defense Temporarily Present In Senegal In Connection with Training, Humanitarian Relief Operations, Exercises and Other Agreed Activities Effected By Exchange Of Notes Act Dakar December 21, 2000 and January 11, 2001' Description:'KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo
|
Law
|
Highest Rating (Constitution only); U.S. Constitution, Article II (foreign relations clause)
|
doi:10.7910/DVN/07MZOG
|
Statement Regarding Agreement Between The United States and Senegal Concerning the Status Of United States Military and Civilian Personnel of the U.S. Department Of Defense Temporarily Present In Senegal In Connection with Training, Humanitarian Relief Operations, Exercises and Other Agreed Activities Effected By Exchange Of Notes Act Dakar December 21, 2000 and January 11, 2001
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Highest Rating (Constitution only); U.S. Constitution, Article II (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Statement Regarding Agreement Between The United States and Senegal Concerning the Status Of United States Military and Civilian Personnel of the U.S. Department Of Defense Temporarily Present In Senegal In Connection with Training, Humanitarian Relief Operations, Exercises and Other Agreed Activities Effected By Exchange Of Notes Act Dakar December 21, 2000 and January 11, 2001' Description:'KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6155First signed 12/21/2000Last signed 01/11/2001Entry into force (supplemented by last signed) 01/11/2001stamped 04-638C06547155cover memo
|
Social Sciences
|
Highest Rating (Constitution only); U.S. Constitution, Article II (foreign relations clause)
|
doi:10.7910/DVN/07OGEY
|
Executive Agreements Database, Statement Regarding the arrangement Between The United States and Finland For The Exchange Of Technical information and Cooperation In Nuclear Safety Matters, with addenda, Signed At Rockville and Helsinki Nov 19 & Dec. 31, 2001, entered into force Dec. 31, 2001
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 6662 cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Atomic Energy Act of 1954, as amended, 68 Stat 919, 42 USC 2011 et seq; Energy Reorganization Act of 1974, as amended, 88 Stat 1233, 42 USC 5801; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the arrangement Between The United States and Finland For The Exchange Of Technical information and Cooperation In Nuclear Safety Matters, with addenda, Signed At Rockville and Helsinki Nov 19 & Dec. 31, 2001, entered into force Dec. 31, 2001' Description:'KAV 6662 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6662 cover memo
|
Law
|
Atomic Energy Act of 1954, as amended, 68 Stat 919, 42 USC 2011 et seq; Energy Reorganization Act of 1974, as amended, 88 Stat 1233, 42 USC 5801; Highest Rating 1 (authorization to conclude agreements)
|
doi:10.7910/DVN/07OGEY
|
Executive Agreements Database, Statement Regarding the arrangement Between The United States and Finland For The Exchange Of Technical information and Cooperation In Nuclear Safety Matters, with addenda, Signed At Rockville and Helsinki Nov 19 & Dec. 31, 2001, entered into force Dec. 31, 2001
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'KAV 6662 cover memo' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Atomic Energy Act of 1954, as amended, 68 Stat 919, 42 USC 2011 et seq; Energy Reorganization Act of 1974, as amended, 88 Stat 1233, 42 USC 5801; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the arrangement Between The United States and Finland For The Exchange Of Technical information and Cooperation In Nuclear Safety Matters, with addenda, Signed At Rockville and Helsinki Nov 19 & Dec. 31, 2001, entered into force Dec. 31, 2001' Description:'KAV 6662 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6662 cover memo
|
Social Sciences
|
Atomic Energy Act of 1954, as amended, 68 Stat 919, 42 USC 2011 et seq; Energy Reorganization Act of 1974, as amended, 88 Stat 1233, 42 USC 5801; Highest Rating 1 (authorization to conclude agreements)
|
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