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

Smith JL, Brown ER, Handley IM, Moss-Racusin CA.
UIID-AD: 3499
2015;13201-6. doi: 10.1073/pnas.1510649112.

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...

Showing 4753 to 4753 of 4753 entries