It's as if, like, if you are a woman, and also in a disfavoured racial category, like, where they, uh, have overlap? Where they meet? It's not the same as either one individually but its own, I guess nexus? I feel like there's a better word for this
It depends on the context. In a Victoria’s Secret fashion show? Yeah, probably not the minority. In a tech role, which women are systemically harassed and bullied out of pursuing? Yeah, women are probably a minority.
That's not what minority means in the sociological context. Volume is mathematical. Poor people are a minority and there's more of them than the 1%. Being a minority is about lack of power, prestige and property.
And intersectionality is the more formal term, but 'double minority' gets the point across.
apropos of nothing, intersectionality came out of critical race theory's analyses of black womens outcomes in the legal system. the particular combination of oppression is literally the textbook example.
idk the point of your snark... people are still figuring out intersectionality. just give some education or stfu, dont condescend to people who are making an effort.
This is also common in the guitar community. Some women can shred like mofos, and here comes Jim-Bob McGraw saying their playing is tracked etc., ad nauseum
Sure there are. But then there are girls like Melle Baby who overshadow them not by only wearing underwear. Seriously, how do I get her out of my recommendations?
The funny thing is that in my experience female programmers usually have above average skills. I suspect it’s exactly because of this bias against women in tech. Where an average or below average dude can easily get by, this is much harder for women. As a result this bias acts as a kind of filter which results in female programmers being on average a little better than male programmers because all the average or below average ones get filtered out early.
"This paper presents the largest study to date on gender bias, where we compare acceptance rates of contributions from men versus women in an open source software community. Surprisingly, our results show that women's contributions tend to be accepted more often than men's. However, women's acceptance rates are higher only when they are not identifiable as women. Our results suggest that although women on GitHub may be more competent overall, bias against them exists nonetheless."