Cited by 215Gender Studies in LanguageGender, Sexuality, and EducationMedia, Gender, and Advertising

The invisible obstacle to educational equality: Gender bias in textbooks

Blumberg, Rae Lesser·2008·Prospects

Integrity signals

Registry

Crossref · 10.1007/s11125-009-9086-1

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Authors
Blumberg, R. L.
Affiliations
University of Virginia (US)
Corresponding author
Blumberg, Rae Lesser
Venue
Prospects
Published
2008-09
Volume
38
Issue
3
Pages
345-361
ISSN
  • 0033-1538 (ISSN-L)
  • 1573-9090
OpenAlex
W2090047157
Cited by
215
References
45
Citations by year
2026: 14 · 2025: 29 · 2024: 22 · 2023: 23 · 2022: 18 · 2021: 24 · 2020: 17 · 2019: 13 · 2018: 5 · 2017: 4 · 2016: 14 · 2015: 13 · 2014: 6 · 2013: 1 · 2012: 6
FWCI
4.85
Type
journal article
Language
en
Open access
closed
Locations
Prospects (publishedVersion)
Topics
  • Social Sciences › Gender Studies › Gender Studies in Language
  • Social Sciences › Gender Studies › Gender, Sexuality, and Education
  • Social Sciences › Gender Studies › Media, Gender, and Advertising
Keywords
gender bias in textbooks, gender equality in education, gender stereotypes, underrepresentation of women, girls' academic achievement, gender roles, gender stratification, textbook reform, curriculum reform, education policy, developing countries

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.

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