Names misgendered more than once, Genderize API without country provided.
dataset
posted on 2024-10-29, 17:22 authored by Alexander D. VanHelene, Ishaani Khatri, C. Beau Hilton, Sanjay Mishra, Ece D. Gamsiz Uzun, Jeremy L. WarnerNames misgendered more than once, Genderize API without country provided.
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xlink "> meta85x less expensiveuniformly less accuratestudying gender disparitiesgender r packagecorrect gender predictionsprovide similar accuracycommercial software genderizegender prediction accuracygender inference accuracygender api achievedgender apileast accurateinferring genderinfer gender968 genderhighest accuracyapi callsapi calltwo datasetstools varythree servicessouth koreanresults indicatereplication studiesprevious studiesoriginal publicationsnational datasetmultinational datasetmodern implementationsfull datasetfirst namesaccuracies greater98 %.6131 names
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