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Book Details
Table of Contents
Acknowledgments.
Introduction. Why Data Science Needs Feminism
1. The Power Chapter
2. Collect, Analyze, Imagine, Teach
3. On Rational, Scientific, Objective Viewpoints from Mythical, Imagery, Impossible Standpoints
4. "What Gets Counted Counts"
5. Unicorns, Janitors, Ninjas, Wizards, and Rock Stars
6. The Numbers Don't Speak For Themselves
7. Show Your Work
Conclusion. Now Lets Multiply
Our Values and Our Metrics for Holding Ourselves Accountable.
Auditing Data Feminism, by Isabel Carter.
Acknowledgement of Community Organizations.
Figure Credits.
Notes.
Name Index.
Subject Index.
Edition Notes
Copyright Creative Commons BY-NC-ND
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History
- Created May 17, 2020
- 10 revisions
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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 |