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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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| Publié dans: | Proc Natl Acad Sci U S A |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
National Academy of Sciences
2015
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| Sujets: | |
| Accès en ligne: | 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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