So
@hulu #FireIslandMovie gets an F- on the Bechdel test in a whole new way. Do we just ignore the drab lesbian stereotypes bc cute gay Asian boys? Is this revenge for all those years of the gay boy best friend?
- Hanna Rosin (@HannaRosin)
June 6, 2022NY Mag podcaster and author Hanna Rosin tweeted yesterday Fire Island gets an F- on the Bechdel
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ppl seems to really misunderstand it.
it's not about applying it on a film by film basis and deciding if it passes or fails and therefore whether the movie is good or not. it is more about looking about the film industry as a whole and how women are represented (in relation to men).
It's not meant to be this like arbiter of whether a movie is ok or not. It's just meant to get people thinking about the role of women in movies.
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remember when pacific rim stans tried to make the mako mori test a thing bc they were so salty/defensive that PR didn't pass the bechdel test?
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the mako mori test wasn't perfect either, and idt a movie can only be good if it passes it, but i thought it was a well-meant attempt at a better assessment of (quality) female representation onscreen. (though obviously it hasn't stuck around lol.)
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i'm imagining something like the bechdel test applied to race. (i.e. two poc characters have a conversation that does not revolve around a white character.) i loved maggie q's nikita, but i'm not positive the show would have passed that kind of test. i loved that show for having an asian female lead, but i wasn't such an unthinking stan that that would have pissed me off.
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my issue w the bechdel test as used these days is that it simply was never meant as a tool to assess female representation. from what i know it was a tongue-in-cheek thing in a comic about lesbians, by lesbian alison bechdel, and kind of lampshaded how as a lesbian you can't even see two women interact in films without being about men. (so subsequently, sapphic representation? virtually nonexistent.) while ofc it does make a point about broader feminist issues of representation, even if you use it to assess a large dataset rather than individual stories, this was just never what it was designed for, and even scoring a yes for a film tells you nothing.
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