The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
How gender determines the way we speak about professionals
Open accessAbstract
Significance: Across eight studies combining archival and experimental methods, we report evidence for a gender bias in how people speak about professionals. Men and women were, on average across studies, more than twice as likely to describe a male (vs. female) professional by surname in domains, such as science, literature, and politics. We find that this simple difference in reference affects judgments of eminence, with participants judging those professionals described by surname as more eminent and 14% more deserving of a career award. This gender bias may contribute to the gender gap in perceived eminence as well as in actual recognition and may partially explain the persistent state of women’s underrepresentation in high-status fields, including science, technology, engineering, and math.
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Presenting women by their first name does not serve to emphasize their gender as much as it makes them appear less eminent, famous or worthy of social acknowledgement.
“As Atir and Ferguson (2018) have pointed out, presenting women by their first name does not serve to emphasize their gender as much as it makes them appear less eminent, famous or worthy of social acknowledgement.”
From The influence of school textbooks on the configuration of gender identity: A study on the unequal representation of women and men in the school discourse during the Spanish democracy (2022) · cites this paper as Atir & Ferguson, 2018
Citations
Cites
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Expectations of brilliance underlie gender distributions across academic disciplines
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Reviewer bias in single- versus double-blind peer review
Tomkins, A., Zhang, M., & Heavlin, W. D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707323114 · Cited by 605
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Cited by
Sorted by citations
De la Torre-Sierra, A. M., & Guichot-Reina, V. (2022) · Teaching and Teacher Education · doi:10.1016/j.tate.2022.103810 · Cited by 31
Metadata
- Authors
- Atir, S., & Ferguson, M. J.
- Affiliations
- Cornell University (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2018-06-25
- Volume
- 115
- Issue
- 28
- Pages
- 7278-7283
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6048538
- OpenAlex
- W2811057653
- Cited by
- 56
- References
- 3
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 9 · 2023: 7 · 2022: 12 · 2021: 8 · 2020: 8 · 2019: 5 · 2018: 1
- FWCI
- 10.26
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Gender Studies › Gender Studies in Language
- Social Sciences › Gender Studies › Gender and Feminist Studies
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Keywords
- gender bias, professional naming, gender inequality in science, women in STEM, media coverage of politicians
- MeSH terms
- Adolescent, Adult, Female, Humans, Male, Middle Aged, Sex Characteristics, Social Behavior, Speech, Sexism
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