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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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Detalhes bibliográficos
Publicado no:Proc Natl Acad Sci U S A
Main Authors: Handley, Ian M., Brown, Elizabeth R., Moss-Racusin, Corinne A., Smith, Jessi L.
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2015
Assuntos:
Acesso em linha: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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