'Professional women walk a tightrope of being regarded as assertive enough to be taken seriously yet nice enough to be seen as womanly'
Such a fantastic read (even if parts of it make me want to scream!) So many poignant, & at times devastating, takeaways
#MisconceivingMerit
The schemas of work devotion and scientific excellence are bad for scientists and bad for science. They valorize individualistic, self-promoting “cowboys” and “rock stars.'
Mary Blair-Loy (Mary Blair, she/her) and I discuss #MisconceivingMerit in a Q&A with Inside Higher Ed
insidehighered.com/news/2022/06/2…
#MisconceivingMerit reviewed in Science! Mary Blair-Loy (Mary Blair, she/her)
'They find that faculty often fail to consider how professional culture can lead to bias [&] undermine knowledge production. Complex phenomena explained in easy-to-grasp fashion [w/] rigorous data'
tinyurl.com/4c9r3cp6
Reunited with Mary Blair-Loy (Mary Blair, she/her) to see #MisconceivingMerit at the UChicagoPress booth!
press.uchicago.edu/ucp/books/book…
Dr. Amy Tan Shannon Ruzycki Erin A. Cech (she/her) UChicagoPress Great question. In STEM, Asian women are underrepresented & don’t have same privilege as Asian & white men. #MisconceivingMerit data find Black & Latinx women face backlash for assertiveness, while Asian women experience marginalization for being viewed as not assertive enough.
13/14 #MisconceivingMerit advances research and policy by showing how REVERED CULTURAL BELIEFS and practices in the academic STEM profession HELP CAUSE INEQUALITY. The book includes insights for changing these patterns. #WorkDevotionSchema #ScientificExcellenceSchema
.Erin A. Cech (she/her) & Mary Blair-Loy (Mary Blair, she/her) offer insight into the research from their new book, 'Misconceiving Merit: Paradoxes of Excellence and Devotion in Academic Science and Engineering' - myumi.ch/e6pEP #STEM #MisconceivingMerit
10/11 In sum: Gendered bias in schemas of merit #MisconceivingMerit is smuggled into seemingly-objective rubric evaluations of faculty candidates. But depts. can set up systems that counteract this bias, create mutual learning,& generate less-biased collective hiring decisions.