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Book Details
Table of Contents
Acknowledgments.
Page | ix
Introduction.
Why Data Science Needs Feminism
Page | 1
1.
The Power Chapter
Page Principle: Examine Power | 21
2.
Collect, Analyze, Imagine, Teach
Page Principle: Challenge Power | 49
3.
On Rational, Scientific, Objective Viewpoints from Mythical, Imagery, Impossible Standpoints
Page Principle: Elevate Emotion and Embodiment | 73
4.
"What Gets Counted Counts"
Page Principle: Rethink Binaries and Hierarchies | 97
5.
Unicorns, Janitors, Ninjas, Wizards, and Rock Stars
Page Principle: Embrace Pluralism | 125
6.
The Numbers Don't Speak For Themselves
Page Principle: Consider Context | 149
7.
Show Your Work
Page Principle: Make Labor Visible | 173
Conclusion.
Now Lets Multiply
Page | 203
Our Values and Our Metrics for Holding Ourselves Accountable.
Page | 215
Auditing Data Feminism, by Isabel Carter.
Page | 223
Acknowledgement of Community Organizations.
Page | 225
Figure Credits.
Page | 227
Notes.
Page | 235
Name Index.
Page | 303
Subject Index.
Page | 307
Edition Notes
Copyright Creative Commons BY-NC-ND
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- Created May 17, 2020
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January 18, 2024 | Edited by MARC Bot | uppercase bwbsku local_id |
December 19, 2023 | Edited by ImportBot | import existing book |
December 16, 2022 | Edited by MARC Bot | import existing book |
December 16, 2022 | Edited by MARC Bot | import existing book |
May 17, 2020 | Created by Mek | Imported from Better World Books record |