Comment on Transitioning in STEM

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sudneo@lemm.ee ⁨7⁩ ⁨hours⁩ ago

unless you’re really just tellin a woman “this unrelated data doesn’t match your life experience”

I am saying that the very relevant data (ironically, gathered as part of the respect-stop violence project) indeed doesn’t match that lived experience. Which means that perhaps that experience cannot be generalized?

If someone claims that women are held to a higher standard, I think asking “how is it possible that on average, at all levels, they get higher grades and they are the majority of students?” is a fair question. The hypothesis that women are held to a higher standard in this context would imply the obvious conclusion that only the “best” would make it, which is in direct opposition with the data that women are a substantial majority of students everywhere.

On the other hand I perfectly acknowledged that gender stereotypes exist and these do explain both sides of the equation that I presented with “unrelated data”: they explain both having a mere 13% of females in IT faculties and having 8% of males in education faculties. The same exact dynamic applies to males and females, which both - due to peer pressure, and fixed gender roles - end up being discouraged to pursue certain careers.

If “women get discouraged their whole life” was a generally valid statement, then asking “why then they are the majority of medicine students, a faculty with the toughest admission exam, a scientific faculty and also a long and hard one - 11 years in total” is also a valid question in my opinion.

So yeah, despite what you might think, while I have no interest to debate or invalidate one’s experience, maybe this cannot be generalized if there are quite glaring issues with statistical data. Why would you consider data about gender distribution in the education sector in Italy irrelevant in the context of gender dynamics in education (in Italy, since that’s what my comment discussed), is a mystery to me. It’s even more of a mystery considering that that very same data was gathered specifically within the contest of a project about women equality.

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