Bayesian networks versus gender bias

Fulvia Mecatti,Paola Vicard,Flaminia Musella, Lorenzo Giammei

Significance（2022）

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摘要

Gender-sensitive statistics can highlight gender gaps, but current measurement tools have serious limitations Here, Fulvia Mecatti, Paola Vicard, Flaminia Musella and Lorenzo Giammei explore how Bayesian networks could help improve the measurement, monitoring and prediction of gender equality

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bayesian networks,gender

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