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Detaining immigrants, scoring crimin...
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Koulish, Robert E.
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Detaining immigrants, scoring criminals = how scoring algorithms transformed anti-immigrant sentiments into policy /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Detaining immigrants, scoring criminals/ by Robert Koulish, Ernesto Calvo.
其他題名:
how scoring algorithms transformed anti-immigrant sentiments into policy /
作者:
Koulish, Robert E.
其他作者:
Calvo, Ernesto.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
vii, 99 p. :ill. (some col.), digital ;24 cm.
內容註:
Preface -- Technologies of Crimmigration -- A theory of punitive biases in Risk Assessment Algorithms -- From Humane to Criminal Detention Changes in RCA Scoring Rules -- Punitive Bias and Algorithm Updating Measuring Puni-tive biases through officers dissents -- Optimized at Last Making RCA Criminals out of Undocumented Immigrants -- Concluding Remarks The Crimmigration Calculus.
Contained By:
Springer Nature eBook
標題:
Noncitizen criminals - Government policy - United States. -
標題:
United States - Emigration and immigration -
電子資源:
https://doi.org/10.1007/978-3-031-86962-4
ISBN:
9783031869624
Detaining immigrants, scoring criminals = how scoring algorithms transformed anti-immigrant sentiments into policy /
Koulish, Robert E.
Detaining immigrants, scoring criminals
how scoring algorithms transformed anti-immigrant sentiments into policy /[electronic resource] :by Robert Koulish, Ernesto Calvo. - Cham :Springer Nature Switzerland :2025. - vii, 99 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in political science,2191-5474. - SpringerBriefs in political science..
Preface -- Technologies of Crimmigration -- A theory of punitive biases in Risk Assessment Algorithms -- From Humane to Criminal Detention Changes in RCA Scoring Rules -- Punitive Bias and Algorithm Updating Measuring Puni-tive biases through officers dissents -- Optimized at Last Making RCA Criminals out of Undocumented Immigrants -- Concluding Remarks The Crimmigration Calculus.
Since 2012, scoring algorithms created to manage risks in the United States penal system have been adopted by Immigration and Customs Enforcement (ICE) agencies across the United States. First developed as a mechanism to reduce anti-immigrant biases and to ensure the humane treatment of detainees, scoring algorithms suffered constant revisions to accommodate DHS enforcement priorities as well as the preferences and punitive biases of ICE agents. With the arrival of the Trump administration, a technology created to ensure the humane treatment of undocumented immigrants became central to the policy of criminalization of the immigration process. This book provides historical, qualitative, and quantitative evidence of the process that placed risk assessment technologies at the forefront of the anti-immigration battle. Using very large data sets on immigration and detention proceedings obtained from DHS through multiple FOIA requests, this Brief reveals the inner workings of the risk classification algorithms (RCA) used to process tens of thousands of immigrants each day. Chapters examine the tension between risk algorithms and end users and explain how ICE officers' preferences shape the scoring properties of RCA used in immigration enforcement. Illustrating how scoring algorithms oppress immigrants of color, this book is interest policymakers, immigration scholars, lawyers, criminologists, political scientists, and university professors, graduate students, and undergraduate students in the behavioral sciences.
ISBN: 9783031869624
Standard No.: 10.1007/978-3-031-86962-4doiSubjects--Corporate Names:
3787966
U.S. Immigration and Customs Enforcement.
Subjects--Topical Terms:
3787968
Noncitizen criminals
--Government policy--United States.Subjects--Geographical Terms:
614270
United States
--Emigration and immigration
LC Class. No.: HV6791
Dewey Class. No.: 364.1370973
Detaining immigrants, scoring criminals = how scoring algorithms transformed anti-immigrant sentiments into policy /
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Since 2012, scoring algorithms created to manage risks in the United States penal system have been adopted by Immigration and Customs Enforcement (ICE) agencies across the United States. First developed as a mechanism to reduce anti-immigrant biases and to ensure the humane treatment of detainees, scoring algorithms suffered constant revisions to accommodate DHS enforcement priorities as well as the preferences and punitive biases of ICE agents. With the arrival of the Trump administration, a technology created to ensure the humane treatment of undocumented immigrants became central to the policy of criminalization of the immigration process. This book provides historical, qualitative, and quantitative evidence of the process that placed risk assessment technologies at the forefront of the anti-immigration battle. Using very large data sets on immigration and detention proceedings obtained from DHS through multiple FOIA requests, this Brief reveals the inner workings of the risk classification algorithms (RCA) used to process tens of thousands of immigrants each day. Chapters examine the tension between risk algorithms and end users and explain how ICE officers' preferences shape the scoring properties of RCA used in immigration enforcement. Illustrating how scoring algorithms oppress immigrants of color, this book is interest policymakers, immigration scholars, lawyers, criminologists, political scientists, and university professors, graduate students, and undergraduate students in the behavioral sciences.
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