Quality of evidence revealing subtle gender biases in science is in the eye of the beholder

Scientists are trained to evaluate and interpret evidence without bias or subjectivity. Thus, growing evidence revealing a gender bias against women—or favoring men—within science, technology, engineering, and mathematics (STEM) settings is provocative and raises questions about the extent to which...

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Udgivet i:Proc Natl Acad Sci U S A
Main Authors: Handley, Ian M., Brown, Elizabeth R., Moss-Racusin, Corinne A., Smith, Jessi L.
Format: Artigo
Sprog:Inglês
Udgivet: National Academy of Sciences 2015
Fag:
Social Sciences
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4629390/
https://ncbi.nlm.nih.gov/pubmed/26460001
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510649112
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