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Boosted by brib@bribstodon.xyz ("brib :neofox_floof:​ :Nonbinary:"):
aparrish@friend.camp ("allison") wrote:

i used the same data set but replaced each country with a "gender identity" (man, woman, trans woman, trans man, non-binary) and prompted chatgpt to characterize the differences between the groups. lo and behold, i got some fantastic gender stereotype trash

Responses from men somewhat more often frame ambition around innovation, technical specialization, infrastructure, finance, or building systems — for example AI, blockchain, engineering, energy, or corporate leadership. Responses from women more frequently include explicitly community-oriented or mentorship-oriented language alongside professional ambition, such as education, healthcare, youth programs, ethics, or public wellbeing. Responses from trans women and trans men often combine technical ambitions with themes of social contribution, representation, or global impact. The tone can feel slightly more mission-driven or interdisciplinary. Non-binary respondents appear especially likely to mention hybrid creative/social careers or community-centered work — for example literacy programs, nonprofit leadership, public spaces, sound design, mental health, or sustainability.