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cleanBib - measure gender bias in your citations
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CC BY
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The goal of the coding notebook is to clean your .bib file to only contain references that you have cited in your manuscript. This cleaned .bib will then be used to generate a data table of full first names that will be used to query the probabilistic gender (Gender API) and race (ethnicolr) classifier. Proportions of the predicted gender for first and last author pairs (man/man, man/woman, woman/man, and woman/woman) will be calculated.

Subject:
Applied Science
Information Science
Material Type:
Interactive
Author:
Ann Sizemore Blevins
Christopher Camp
Cleanthis Michael
Dale Zhou
Eli Cornblath
Erin Teich
Jeni Stiso
Jordan Dworkin
Kendra Oudyk
virtualmarioe
Max Bertolero
Date Added:
11/13/2020