Destroy the brilliance bias
Editorial

Destroy the brilliance bias

Communication among scientists has been described as a social system (1) and thus is likely subject to the same gender cognitive biases. Despite changes in the participation and acceptance of women in non-traditional domains, people perceive strong differences between men and women on stereotype components, today as they did in the past (2).

The writer Caroline Criado Perez defines “the brilliance bias” as the negative stereotype of female intellectual abilities (3). Due to this cognitive bias male are often considered not only more authoritative, objective, and skilled but also more “brilliant” than women. Those differential perceptions emerge early. A meta-analysis of 5 decades of U.S. Draw-A-Scientist Studies (4) showed that children drew roughly equal proportions of male and female scientists when they started kindergarten around ages 5 or 6. However, the tendency to draw male scientists increased strongly with age during elementary school and middle school. To overcome this bias, children should be exposed to different examples of scientists that go beyond the typical dead, white, male scientists usually presented in classrooms. However, female geniuses of the past were written out of history and in the present few women break the so called “glass ceiling”. Consistent with these data, several studies reported that the fields whose practitioners believed that natural talent and brilliance are crucial for success (e.g., science, technology, math and engineering) had fewer female representatives (5,6).

Male scientists and “masculine” topics are frequently perceived as demonstrating higher scientific quality. This bias affects female scientists career causing the so-called Matilda effect, systematic under-recognition in contrast with male scientists (7).

Several studies show that female scientists receive grants less often (8) and fewer scientific awards (9) compared to male colleagues with equal requirements. Furthermore, females are drastically underrepresented in higher academic ranks (10).

Publications of papers in specialized journals subject to peer review play a central role in determining individual outcomes and progress in academic settings. Female-authored papers were more often accepted or rated higher with a double-blind peer review process, as it reduces gender biases through author anonymity (11).

Being mentioned in the works of other scientists is a determining measure of the impact of a research. However, women are systematically mentioned less than men (12). There are several reasons for this: in the evaluation and dissemination of research, men are more frequently journal editors and reviewers (13) and invited speakers at conferences (14). Women are significantly under-represented as authors of single-authored papers and in the prestigious positions of first and last author compared with men, on papers with three or more authors (15). Finally, in the last two decades men cited themselves at 1.7 times the rate of women (16). This gender gap in citation rates has remained stable over the last 50 years, despite increased representation of women in Academia.

Surgeon-scientists are uniquely positioned to make important contributions to understand surgical diseases and improve management and surgical results. Although a surgical career is becoming a path more traveled by women, men are still strongly associated with surgery whilst women with family medicine (17). According to data published on New England of Medicine (18), nearly two thirds of female surgeons in training experience discrimination. What if women decide to pursue the track of surgeon scientist? They face overlapping discrimination and are often perceived as not “surgeon” enough or (and) not “scientist” enough.

The aim of this focus series is to help to eliminate the tenacious internal conditioning, promoting women surgeon scientists and multiplying existing “scientists” models, confident that science will sooner achieve gender equity.


Acknowledgments

Funding: None.


Footnote

Provenance and Peer Review: This article was commissioned by the editorial office, Laparoscopic Surgery for the series “Amplifying the voices of women surgeon scientists”. The article did not undergo external peer review.

Conflicts of Interest: The author has completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/ls-2020-02). The series “Amplifying the voices of women surgeon scientists” was commissioned by the editorial office without any funding or sponsorship. NR served as the unpaid Guest Editor of the series and serves as an unpaid editorial board member of Laparoscopic Surgery from June 2020 to May 2022. The author has no other conflicts of interest to declare.

Ethical Statement: The author is accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Garvey WD, Griffith BC. Scientific communication as a social system. The exchange of information on research evolves predictably and can be experimentally modified. Science 1967;157:1011-6. [Crossref] [PubMed]
  2. Haines EL, Deaux K, Lofaro N. The Times They Are a-Changing … or Are They Not? A Comparison of Gender Stereotypes, 1983–2014. Psychology of Women Quarterly 2016;40:353-63. [Crossref]
  3. Criado Perez C. Invisible Women: Exposing Data Bias in a World Designed for Men. Chatto & Windus, 2019.
  4. Miller DI, Nolla KM, Eagly AH, et al. The Development of Children's Gender-Science Stereotypes: A Meta-analysis of 5 Decades of U.S. Draw-A-Scientist Studies. Child Dev 2018;89:1943-55. [Crossref] [PubMed]
  5. Leslie SJ, Cimpian A, Meyer M, et al. Expectations of brilliance underlie gender distributions across academic disciplines. Science 2015;347:262-5. [Crossref] [PubMed]
  6. Storage D, Horne Z, Cimpian A, et al. The Frequency of "Brilliant" and "Genius" in Teaching Evaluations Predicts the Representation of Women and African Americans across Fields. PLoS One 2016;11:e0150194 [Crossref] [PubMed]
  7. Rossiter MW. The Matthew Matilda Effect in Science. Social Studies of Science 1993;23:325-41. [Crossref]
  8. Witteman HO, Hendricks M, Straus S, et al. Are gender gaps due to evaluations of the applicant or the science? A natural experiment at a national funding agency. Lancet 2019;393:531-40. [Crossref] [PubMed]
  9. Lincoln AE, Pincus S, Koster JB, et al. The matilda effect in science: awards and prizes in the US, 1990s and 2000s. Soc Stud Sci 2012;42:307-20. [Crossref] [PubMed]
  10. European Commission. (2012). Meta-analysis of gender and science research. Available online: http://www.genderandscience.org/doc/synthesis_report.pdf
  11. Budden AE, Tregenza T, Aarssen LW, et al. Double-blind review favours increased representation of female authors. Trends Ecol Evol 2008;23:4-6. [Crossref] [PubMed]
  12. Knobloch-Westerwick S, Glynn CJ. The Matilda Effect—Role Congruity Effects on Scholarly Communication: A Citation Analysis of Communication Research and Journal of Communication Articles. Commun Res 2013;40:3-26. [Crossref]
  13. Helmer M, Schottdorf M, Neef A, et al. Gender bias in scholarly peer review. Elife 2017;6:e21718 [Crossref] [PubMed]
  14. Klein RS, Voskuhl R, Segal BM, et al. Speaking out about gender imbalance in invited speakers improves diversity. Nat Immunol 2017;18:475-8. [Crossref] [PubMed]
  15. West JD, Jacquet J, King MM, et al. The role of gender in scholarly authorship. PLoS One 2013;8:e66212 [Crossref] [PubMed]
  16. King MM, Bergstrom CT, Correll SJ, et al. Men Set Their Own Cites High: Gender and Self citation across Fields and over Time. Socius: Sociological Research for a Dynamic World 2017;III:1-22. [Crossref]
  17. Salles A, Awad M, Goldin L, et al. Estimating Implicit and Explicit Gender Bias Among Health Care Professionals and Surgeons. JAMA Netw Open 2019;2:e196545 [Crossref] [PubMed]
  18. Hu YY, Ellis RJ, Hewitt DB, et al. Discrimination, Abuse, Harassment, and Burnout in Surgical Residency Training. N Engl J Med 2019;381:1741-52. [Crossref] [PubMed]
Nadia Russolillo, MD, PhD

Nadia Russolillo, MD, PhD

Department of General and Oncological Surgery, Mauriziano Hospital, Turin, Italy.
(Email: nrussolillo@mauriziano.it)

Received: 20 November 2020; Accepted: 28 January 2021; Published: 25 October 2021.

doi: 10.21037/ls-2020-02

doi: 10.21037/ls-2020-02
Cite this article as: Russolillo N. Destroy the brilliance bias. Laparosc Surg 2021;5:40.

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