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Women STEM students up to twice as likely as non-STEM students to have experienced sexism (www.hepi.ac.uk)

submitted 10 months ago by [email protected] to c/[email protected]

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We know that women students and staff remain underrepresented in Higher Education STEM disciplines. Even in subjects where equivalent numbers of men and women participate, however, many women are still disadvantaged by everyday sexism. Our recent research found that women who study STEM subjects at undergraduate level in England were up to twice as likely as non-STEM students to have experienced sexism. The main perpetrators of this sexism were not university staff, however, but were men STEM degree students.

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[–] [email protected] 27 points 10 months ago* (last edited 10 months ago) (21 children)

They're grouping non-binary people as female and pretending like this isn't a problem for presenting a statistical analysis?

Who the fuck gave the go ahead for doing this research?

There should be separate reports on non-binary discrimination and female discrimination not combining the two and labeling them women. (in case you're unaware, males and females can both be non-binary so grouping non binary people from either sex into "women" completely de-legitimizes the research)

Completely unprofessional.

https://www.stemwomen.com/women-in-stem-statistics-progress-and-challenges#:~:text=Women%20in%20STEM%20statistics%20%E2%80%93%20Conclusion&text=Overall%2C%20the%20percentage%20of%20female,with%20women%20making%20up%2026%25.

[–] [email protected] -1 points 10 months ago (1 children)

How is it unprofessional? It's just a different data set, there's nothing inherently professional or not about it.

Another way to say it would be "non-male" sexual discrimination. Which makes perfect sense given who are generally the target of that type of discrimination.

It's just a statistic, dude. If you're looking at it as something it isn't, that's on you.

[–] [email protected] 5 points 10 months ago

Making wide claims on entire groups based on inferential data is inherently unprofessional. They didn't stop at observing they're making claims without evidence to back it up.

How one person feels about something does not automatically mean that someone was intentionally or even unintentionally hurting them.

That is the issue at heart here.

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