Cited by 127Gender Studies in LanguageGender and Feminist StudiesSwearing, Euphemism, Multilingualism

An analysis of classic arguments against changing sexist language

Blaubergs, Maija S.·1980·Women's Studies International Quarterly

Integrity signals

Registry

Crossref · 10.1016/s0148-0685(80)92071-0

Cites

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Claims the paper makes

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Claims other papers make about this one

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  • Blaubergs (1980) identified eight distinct categories of arguments against gender-inclusive language.

    “Blaubergs (1980) identified eight distinct categories in which the prevailing arguments against gender-inclusive language could be classified”
  • Gender-inclusive language reforms, including gender-inclusive pronouns, often face public resistance.

    “Gender-inclusive language reforms, including gender-inclusive pronouns, often face public resistance (Blaubergs, 1980; Bradley, 2020; Bradley et al., 2019; Hekanaho, 2020; Parks & Roberton, 1998; Vergoossen et al., 2020).”

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Authors
Blaubergs, M. S.
Affiliations
University of Georgia (US)
Corresponding author
Blaubergs, Maija S.
Venue
Women's Studies International Quarterly
Publisher
Elsevier BV
Published
1980-01
Volume
3
Issue
2-3
Pages
135-147
ISSN
0148-0685 (ISSN-L)
OpenAlex
W2009271180
Cited by
127
References
0
Citations by year
2026: 2 · 2025: 47 · 2024: 5 · 2023: 1 · 2022: 8 · 2021: 11 · 2020: 2 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 1 · 2012: 4
FWCI
2.92
Type
journal article
Language
en
Open access
closed
Locations
Women s Studies International Quarterly (publishedVersion)
Topics
  • Social Sciences › Gender Studies › Gender Studies in Language
  • Social Sciences › Gender Studies › Gender and Feminist Studies
  • Social Sciences › Communication › Swearing, Euphemism, Multilingualism
Keywords
sexist language, gender-neutral language, language reform, freedom of expression, etymology, historical authenticity, feminist criticism, anti-feminism

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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