MARC details
| 000 -LEADER |
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| fixed length control field |
04439cam a2200397 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
on1013516195 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20180722230059.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
171121t20182017nyua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2017036194 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
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OCLCO |
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BDX |
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ILC |
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ZLM |
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NFG |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781250074317 |
| Qualifying information |
(hardcover) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1250074312 |
| Qualifying information |
(hardcover) |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(OCoLC)1013516195 |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
pcc |
| 043 ## - GEOGRAPHIC AREA CODE |
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| Geographic area code |
n-us--- |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
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| Classification number |
362.5 |
| Item number |
E86 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
NFGA |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Eubanks, Virginia, |
| Dates associated with a name |
1972- |
| Relator term |
author. |
| 9 (RLIN) |
354997 |
| 245 10 - TITLE STATEMENT |
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| Title |
Automating inequality : |
| Remainder of title |
how high-tech tools profile, police, and punish the poor / |
| Statement of responsibility, etc |
Virginia Eubanks. |
| 246 30 - VARYING FORM OF TITLE |
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| Title proper/short title |
How high-tech tools profile, police, and punish the poor |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS |
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| Place of production, publication, distribution, manufacture |
New York, NY : |
| Name of producer, publisher, distributor, manufacturer |
St. Martin's Press, |
| Date of production, publication, distribution, manufacture |
2018. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS |
|---|
| Date of production, publication, distribution, manufacture |
©2017 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
260 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
22 cm |
| 336 ## - CONTENT TYPE |
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| Content Type Term |
text |
| Content Type Code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media Type Term |
unmediated |
| Media Type Code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier Type Term |
volume |
| Carrier Type Code |
nc |
| Source |
rdacarrier |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
"The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years--because a new computer system interprets any mistake as "failure to cooperate." In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems--rather than humans--control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values.This deeply researched and passionate book could not be more timely." -- Publisher's description |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Eubanks investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. She shows how automated systems, rather than humans, control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. -- adapted from jacket. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references (pages 225-251) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Introduction: red flags -- From poorhouse to database -- Automating eligibility in the heartland -- High-tech homelessness in the City of Angels -- The Allegheny algorithm -- The digital poorhouse -- Conclusion: dismantling the digital poorhouse -- Acknowledgments -- Sources and methods -- Notes -- Index. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Poor |
| General subdivision |
Services for |
| Geographic subdivision |
United States |
| General subdivision |
Data processing. |
| 9 (RLIN) |
354998 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Poverty |
| Geographic subdivision |
United States. |
| 9 (RLIN) |
57173 |
| 994 ## - |
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| -- |
C0 |
| -- |
NFG |
