[#FFDS] Webinaire : sensibilisation aux biais et stéréotypes de genre (ENS concours lettres)

[#FFDS] Webinaire : sensibilisation aux biais et stéréotypes de genre (ENS concours lettres)

🎙 École normale supérieure - PSL 👥 75K 📅 June 20, 2025 ⏱ 31 min 👁 720 📄 expert opinion 🧭 2026-08-05
Available in: English (current) Français

Keywords

gender biasstereotypesconcoursENScognitive science

Summary

This webinar, part of the ENS-PSL ‘Femmes et filles de science’ program, aims to raise awareness among jury members of the oral exams for the ENS entrance competitions about gender biases and stereotypes. Valérie Theis, deputy director for humanities, introduces the session by presenting alarming statistics: in 2024, women represented 66% of candidates in literary competitions but only 42% of admitted students, with a decline over recent years. Charlotte Jacquemot, a cognitive science researcher and director of the Department of Cognitive Studies, then explains the scientific evidence against biological determinism, citing studies showing no innate cognitive differences between male and female infants. She distinguishes between stereotypes affecting students (e.g., ‘girls are bad at math’) and biases affecting evaluators, which operate unconsciously. She presents experiments, such as one where the same spatial task is labeled as ‘geometry’ or ‘drawing’, leading to significant performance differences based on gender stereotypes. The webinar emphasizes that these biases can be mitigated through awareness and simple interventions, such as anonymizing evaluations or changing evaluation criteria. The session concludes with a Q&A, addressing practical strategies for juries to reduce bias in oral exams.

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Critical Evaluation

The webinar provides a solid, evidence-based introduction to gender biases in academic evaluation, particularly in the context of competitive entrance exams. The strength lies in its clear presentation of scientific studies, such as the geometry/drawing experiment, which effectively demonstrates the impact of stereotypes on performance. The speakers, both from ENS-PSL, bring credibility and practical experience, and the inclusion of institutional data grounds the discussion in real-world relevance. The argumentation is rigorous, distinguishing between biological and cultural explanations, and systematically debunking the former with cognitive science research. The content is well-structured, moving from problem identification to mechanisms and then to practical solutions. However, the webinar is relatively brief and may not delve deeply into the nuances of bias mitigation strategies, and it focuses primarily on the French context, which may limit its generalizability. The sources cited are institutional and scientific, but the webinar does not provide a comprehensive literature review, relying instead on selected studies. The title accurately reflects the content, and the session fulfills its aim of sensitizing jury members. Overall, it is a valuable resource for educators and evaluators, though it could benefit from more detailed examples of bias-reduction techniques and a broader discussion of intersectionality.

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Title / Content Match

The title accurately reflects the content: a webinar on gender bias and stereotypes for ENS literature exam juries.

Quality & Reliability

8/10

The webinar is presented by a cognitive science researcher and the deputy director of ENS, with references to scientific studies and institutional data. The content is well-structured and evidence-based, though it is a recorded webinar with limited interactive verification.

Key Moments

Cited Sources

Concurring Sources

  • UNESCO Science Report — Global data on women in science, supporting the webinar's claims about underrepresentation.

External References

Contribution & Novelties

This webinar provides a concise, evidence-based overview of gender biases in academic evaluation, specifically tailored for jury members of competitive exams. It synthesizes key research findings and offers practical recommendations, making it a valuable resource for institutions seeking to promote gender equality.

Pour aller plus loin :

  • Implicit Association Test (IAT) — A tool to measure implicit biases, relevant to understanding unconscious stereotypes.
  • Stereotype threat — The phenomenon where awareness of negative stereotypes impairs performance, central to the webinar’s discussion.
  • UNESCO report on gender and science — Provides global data on women in science, complementing the national statistics presented.

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Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a moderate technical level. This indicates a well-balanced, accessible yet rigorous presentation suitable for a professional audience.

Reliability 8/10