Recap: Dan Grunspan, UW Anthropology, on Gender Bias amongst Undergraduates in STEM Courses

grunspan

Hi folks! Happy Memorial Day. Here’s my take on Dan Grunspan’s talk, titled “Old Boys’ Club Starts Early: Males Under-Estimate Academic Performance of Their Female Peers in Undergraduate Biology Classrooms.” After I give my two cents, I’ll provide some cool links! Some notes: Dan’s research differentiated between people using the words “male” and “female.” In order to stay true to his analysis, I will do the same (even though gender is a spectrum and male and female are technically references to “biological sex,” whatever that is).

Why Biology Classrooms?

  • At the undergraduate level, biology is dominated by women. In fact, 59% of biology students are women…
  • But only 52% of graduate biology students are women. This number drops to 49% of postdocs and 43% of practicing biology researchers.
  • This is something called a leaky pipeline. Somewhere, women are being discouraged from studying biology.

How do we know when we’re good at something?

  • Two ways:
    • Self-efficacy: advocating for ourselves and knowing our own strengths and weaknesses
    • External feedback: i.e. people tell us when we’re good and bad at things
  • (Fun note: my neighbor and I both said that things we’re good at we know because of external feedback and things we’re bad at we know through self-efficacy. Weird, huh?)

The study itself

  • Dan went into three biology classrooms and at every midterm had each student nominate a student that they thought would know the material well.
  • In all three classes, top three students were male
  • In all three classes, the trend was for increasing confidence in male talent
  • This study originally was meant to focus on study patterns, not gender bias, but the gender bias seemed to simply fall out of the data.
  • Females nominated males and females equitably, but males enforced a 0.75 GPA gap between males and females (e.g. they’d nominate males with a 3.0 at the same rate as females with a 3.75).

Leaky Pipeline? More like Selective Filter.

We’re always super hopeful that sexism (and implicit bias and all the other -isms and -phobias) in STEM is on its way out because of this “older generation” that’s on its way out. But surprise, surprise! Today’s first-year undergrads have the same biases, so much so that females are discouraged from a field in which they were the majority.

What can we do????

  • Random call (even lawyers are doing it so it can’t be that hard)
  • Learn our own biases and how to respond to them
  • Learn about how to be an ally to underrepresented populations

 

Cool Links

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