Weapons of math destruction : (Record no. 57374)

MARC details
000 -LEADER
fixed length control field 01620nam a22003498i 4500
001 - CONTROL NUMBER
control field BDZ0028837362
003 - CONTROL NUMBER IDENTIFIER
control field StDuBDS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230412111717.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170201r20172016enk f b 001|0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780141985411 (pbk.) :
Terms of availability £9.99
040 ## - CATALOGING SOURCE
Original cataloging agency StDuBDS
050 #0 - Library of Congress Classification
Library of Congress Class mark QA76.9.B45
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Source ukslc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal author O'Neil, Cathy,
Relator term author.
245 10 - TITLE STATEMENT
Title Weapons of math destruction :
Subtitle how big data increases inequality and threatens democracy /
Statement of responsibility, etc Cathy O'Neil.
260 ## - PUBLICATION INFORMATION
Place of publication London :
Publisher Penguin Books,
Date 2017.
300 ## - PHYSICAL DESCRIPTION
Physical description x, 259 pages ;
Dimensions 20 cm
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
500 ## - GENERAL NOTE
General note Originally published: UK: Allen Lane, 2016.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 8# - Summary
Summary We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules and bias is eliminated. And yet, as Cathy O'Neil reveals in this book, the opposite is true. The models being used today are opaque, unregulated and incontestable, even when they're wrong. Most troubling, they reinforce discrimination.
650 #0 - SUBJECT HEADINGS
Subject term Big data
General subdivision Social aspects.
650 #0 - SUBJECT HEADINGS
Subject term Mathematical models
General subdivision Social aspects.
650 #0 - SUBJECT HEADINGS
Subject term Algorithms
General subdivision Social aspects.
650 #0 - SUBJECT HEADINGS
Subject term Democracy.
650 #7 - SUBJECT HEADINGS
Subject term Computers and IT.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 201706
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Cost, replacement price Price effective from Koha item type
        Hockney Library Hockney Library DHB Main Collection 12/10/2017 9.95 1 1 005.7/ONE 7412300756 13/02/2024 27/11/2017 9.95 12/10/2017 2 week loan