this is all very clearly a solved problem run human2vec on a large sample of humans, label the rows, train a suitable classifier, apply with an appropriate threshold and thats everyones gender simple ashttps://twitter.com/Aella_Girl/status/1282383846986539009 …
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eigenrobot Retweeted 4ZEROESMOREHEROES Lovecraft 🐬 🦃
dont like the output? thats fine simply label the training data using your own schema and people can reference it no need to argue about these things "under the zerohp model im a blorp but by the government model im a class 3 taxbag" see how easy that ishttps://twitter.com/0x49fa98/status/1282384960352133120?s=19 …
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more seriously, the "are transwomen women" debate has less to do with the object level issue than with the meta-issue "what is the one true model?" The "multiple model" solution is actually a victory for the "no" side; the yes side claims that any model which says no is invalid
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I would say this is failing to model your Outgroup
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explicitly i. the majority of trans people i have met irl simply want to be left alone and can't stand insane trans activists ii. external contempt for trans people generally makes it easier for insane trans activists to garner sympathy from everyone else
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