000 -LEADER |
fixed length control field |
02317cam a22003138i 4500 |
001 - CONTROL NUMBER |
control field |
21273441 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20211011161329.0 |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2019036137 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780262044004 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
LBSOR/DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
HQ1190 |
Item number |
.D574 2020 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
305.42 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
D'Ignazio, Catherine |
Relator term |
author |
9 (RLIN) |
29233 |
245 10 - TITLE STATEMENT |
Title |
Data feminism |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cambridge, Massachusetts; |
Name of publisher, distributor, etc |
The MIT Press, |
Date of publication, distribution, etc |
2020. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
314 p. |
490 0# - SERIES STATEMENT |
Series statement |
Strong ideas series |
520 ## - SUMMARY, ETC. |
Summary, etc |
"We have seen through many examples that data science and artificial intelligence can reinforce structural inequalities like sexism and racism. Data is power, and that power is distributed unequally. This book offers a vision for a feminist data science that can challenge power and work towards justice. This book takes a stand against a world that benefits some (including the authors, two white women) at the expense of others. It seeks to provide concrete steps for data scientists seeking to learn how feminism can help them work towards justice, and for feminists seeking to learn how their own work can carry over to the growing field of data science. It is addressed to professionals in all fields where data-driven decisions are being made, as well as to communities that want to better understand the data that surrounds them. It is written for everyone who seeks to better understand the charts and statistics that they encounter in their day-to-day lives, and for everyone who seeks to better communicate the significance of such charts and statistics to others. This is an example-driven book written with a broad audience of scholars, students, and practitioners in mind. It offers a way of thinking about data, both their uses and their limits, that is informed by direct experience, by a commitment to action, and by the ideas associated with intersectional feminist thought"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Feminism. |
9 (RLIN) |
29234 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Feminism and science. |
9 (RLIN) |
29235 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Big data |
General subdivision |
Social aspects. |
9 (RLIN) |
29236 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Quantitative research |
General subdivision |
Methodology |
-- |
Social aspects. |
9 (RLIN) |
29237 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Power (Social sciences) |
9 (RLIN) |
7939 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Klein, Lauren F. |
Relator term |
author |
9 (RLIN) |
29238 |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
rip |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Non Fiction |