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LEADER 03234cam 22005298i 4500
001
on1013516195
003
OCoLC
005
20180201142754.9
008
171121t20182017nyua b 001 0 eng
010
a| 2017036194
020
a| 9781250074317
q| (hardcover)
020
a| 1250074312
q| (hardcover)
020
z| 9781466885967 (ebook)
035
a| (Sirsi) 99975693275
035
a| 99975693275
035
a| (OCoLC)1013516195
040
a| DLC
b| eng
e| rda
c| DLC
d| OCLCO
d| BDX
d| IKG
d| IEP
d| IGA
d| TXKYL
d| NAM
d| ASC
d| UtOrBLW
042
a| pcc
043
a| n-us---
050
0
0
a| HC79.P6
b| E89 2018
082
0
0
a| 362.5/60285
2| 23
100
1
a| Eubanks, Virginia,
d| 1972-
e| author.
=| ^A1060908
245
1
0
a| Automating inequality :
b| how high-tech tools profile, police, and punish the poor /
c| Virginia Eubanks.
246
3
0
a| How high-tech tools profile, police, and punish the poor
250
a| First Edition.
264
1
a| New York, NY :
b| St. Martin's Press,
c| 2018.
264
4
c| ©2017
300
a| 260 pages :
b| illustrations ;
c| 22 cm
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
520
a| "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"--Publisher's website.
504
a| Includes bibliographical references (pages 225-251) and index.
505
0
a| 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
a| Poor
x| Services for
z| United States
x| Data processing.
=| ^A1013476
650
0
a| Poverty
z| United States.
=| ^A757
650
7
a| COMPUTERS / Social Aspects.
2| bisacsh
650
7
a| POLITICAL SCIENCE / Public Policy / Social Services & Welfare.
2| bisacsh
650
7
a| SOCIAL SCIENCE / Poverty & Homelessness.
2| bisacsh
650
7
a| SOCIAL SCIENCE / Social Classes & Economic Disparity.
2| bisacsh
650
4
a| Poor
x| Services for
z| United States
x| Data processing.
650
4
a| Poverty
z| United States.
949
i| 30372016670306
o| jjlm
960
o| 1
s| 26.99
t| Joyner48
u| JANT
z| USD
596
a| 1
998
a| 4824900
999
a| HC79 .P6 E89 2018
w| LC
c| 1
i| 30372016670306
d| 2/6/2023
e| 3/20/2019
l| JGES
m| JOYNER
n| 1
r| Y
s| Y
t| JGESBK
u| 3/23/2018
x| BOOK
z| JSTACKS
o| .STAFF. jjlm