In their article, Stephen Ceci, Shulamit Kahn, and Wendy Williams provide a comprehensive analysis of gender bias in academic science from 2000 to 2020. They explore various evaluation contexts, including tenure-track hiring, grant funding, teaching ratings, journal acceptances, salaries, recommendation letters, and journal productivity. Surprisingly, their findings challenge the prevalent claims of sexism in these domains, revealing that tenure-track women are at parity with men in three areas and even have an advantage in hiring. However, biases against women are present in teaching ratings and salaries, albeit to a lesser extent than commonly believed. The authors acknowledge that societal factors may still impede women’s advancement in academic science. Overall, this collaborative effort showcases the importance of acknowledging and addressing gender bias in specific domains while recognizing progress made in recent decades.
https://statmodeling.stat.columbia.edu/2023/10/16/a-successful-example-of-adversarial-collaboration-when-does-this-approach-work-and-when-does-it-not/