academia (2) ai (1) capitalism (2) community (2) critical theory (3) dailyprompt (1) dailyprompt-1881 (1) daniel lakens (1) data (1) data science (1) decolonize (1) facecraft (1) faces (1) identity (3) illegality (2) immigration (3) jazi zilber (1) metaphor (1) ontology (2) princeton (1) psychology (3) race (1) racecraft (2) racialization (2) racism (2) random effect models (2) recognition (1) regression (2) robin kok (1) social psychology (3) socioeconomic status (1) statistics (3) Success (1) surveys (1) survival (2) undocumented (3) variance components (2) whiteness (1)
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becoming tables or borders
Every day, in every interaction, you have a choice: will you become a border, or will you become a table?
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your face dataset cannot be “racially” diverse
facial diversity cannot be racial diversity, so what are face datasets actually diversifying?
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how survey researchers reinforce racialization
what if research methods are merely (re)producing caricatures of the people that we study as “racial groups”?
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whiteness in statistics
Daniel Lakens and colleagues (Robin Kok, Jazi Zilber, etc; all white presenting, many northern European) took it upon themselves to be the arbiters of the English language and deride this woman’s approach to finding resources
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hidden minority
i participated in a campaign that raised awareness for what it means to be a first-generation or underprivileged minority at princeton
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undocumented and capitalistic?
how should/would/could oppressed individuals in the U.S., who need to partake in the economy and system to get ahead, navigate this identity?
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the double-edged sword of minority success
People have normative ideas about how a minority should behave when they reach high status positions
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mixed effect models
I compiled a collection of papers and link and books that I used to self teach mixed effect regressions
