Data for: Double standards? Co-authorship and gender bias in early-stage academic evaluations
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https://dataverse.nl/citation?persistentId=doi:10.34894/X4NUTA
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资源简介：
This data set is drawn from a factorial survey experiment on a sample from the entire population of associate and full professors employed at Italian public universities in 2019.
提供机构：
University of Pavia; University of Lausanne; Vrije Universiteit Amsterdam
创建时间：
2019-01-01
