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Cited by 84Gender, Sexuality, and EducationGender Studies in LanguageGender and Feminist Studies

The DOI matches its Crossref record.

Language, Sexuality and Education

Sauntson, Helen·2018·Cambridge University Press eBooks

Abstract

Presenting a range of data obtained from secondary schools in the UK and US, this path-breaking book explores the role played by language in constructing sexual identities. Analysing the often complex ways in which homophobia, heterosexism and heteronormativity are enacted within school contexts, it shows that by analysing language, we can discover much about how educators and students experience sexual diversity in their schools, how sexual identities are constructed through language, and how different statuses are ascribed to different sexual identities.

Overview

Integrity signals

Registry

Crossref · 10.1017/9781316411353

Cites

Statistics

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Verification

Claims the paper makes

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Citations

Metadata

Authors
Sauntson, H.
Affiliations
York St John University (GB)
Corresponding author
Sauntson, Helen
Venue
Cambridge University Press eBooks
Published
2018-02-26
OpenAlex
W4300522502
Cited by
84
References
0
Citations by year
2025: 45 · 2024: 4 · 2023: 5 · 2022: 16 · 2021: 6 · 2020: 3 · 2019: 4 · 2018: 1
FWCI
3.94
Type
book
Language
en
Open access
closed
Locations
  • Cambridge University Press eBooks (publishedVersion)
  • Research at York St John (York St John University) (submittedVersion)
Topics
  • Social Sciences › Gender Studies › Gender, Sexuality, and Education
  • Social Sciences › Gender Studies › Gender Studies in Language
  • Social Sciences › Gender Studies › Gender and Feminist Studies
Keywords
language and sexuality, sexual identity development, homophobia, heterosexism, heteronormativity, secondary schools, sexual diversity in schools, gender and language

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.