MARC details
| 000 -LEADER |
| fixed length control field |
03356cam a22004098i 4500 |
| 001 - CONTROL NUMBER |
| control field |
21273441 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20210803153757.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
191021s2020 mau b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2019036137 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780262044004 |
| Qualifying information |
(hardcover) |
| 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 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
D'Ignazio, Catherine, |
| Relator term |
author. |
| 9 (RLIN) |
917002 |
| 245 10 - TITLE STATEMENT |
| Title |
Data feminism / |
| Statement of responsibility, etc. |
Catherine D'Ignazio and Lauren F. Klein. |
| 263 ## - PROJECTED PUBLICATION DATE |
| Projected publication date |
2002 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
Cambridge, Massachusetts : |
| Name of producer, publisher, distributor, manufacturer |
The MIT Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2020] |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
pages cm. |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 0# - SERIES STATEMENT |
| Series statement |
Strong ideas series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Introduction: Why data science needs feminism -- Examine power : the power chapter -- Challenge power : collect, analyze, imagine, teach -- Elevate emotion and embodiment : on rational, scientific, objective viewpoints from mythical, imaginary, impossible standpoints -- Rethink binaries and hierarchies : "What gets counted counts" -- Embrace pluralism : unicorns, janitors, ninjas, wizards and rock stars -- Consider context : the numbers don't speak for themselves -- Make labor visible : show your work -- Conclusion: Now let's multiply. |
| 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"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Feminism. |
| 9 (RLIN) |
142359 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Feminism and science. |
| 9 (RLIN) |
381531 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Big data |
| General subdivision |
Social aspects. |
| 9 (RLIN) |
899624 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Quantitative research |
| General subdivision |
Methodology |
| -- |
Social aspects. |
| 9 (RLIN) |
917003 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Power (Social sciences) |
| 9 (RLIN) |
193033 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Klein, Lauren F., |
| Relator term |
author. |
| 9 (RLIN) |
917004 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
| a |
7 |
| b |
rip |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 925 0# - |
| -- |
acquire |
| -- |
1 shelf copy |
| -- |
policy default |
| 955 ## - COPY-LEVEL INFORMATION (RLIN) |
| -- |
rm03 2019-10-30 |
| -- |
rm05 2019-10-30 to Dewey |
| -- |
xm09 2019-11-5 |
| 985 ## - |
| -- |
LBSORCIP |
| -- |
2019-10-19 |