Materials, de-identified data, and analyses for Gardner & Brown-Schmidt "Biased inferences about gender from names" (2024)
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Updated
Jan 25, 2024 - R
Materials, de-identified data, and analyses for Gardner & Brown-Schmidt "Biased inferences about gender from names" (2024)
Using GSS data, this paper tracks public perceptions of women in politics over time, in correlation with demographic factors, political views, and party identification
Gender bias in Porto street naming convention
R code and data files associated with: Courchamp & Bradshaw. 2017. 100 papers every ecologist should read. Nature Ecology and Evolution 2: 395-401
NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Reproduction Attempt for "Gender Bias among Professionals"
Measure gender bias in English Wikipedia biographies through text analysis in R
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