The DOI matches its Crossref record.
Key issues in women's work: female heterogeneity and the polarisation of women's employment
Abstract
Explaining Women's Subordination Marginal Employment, Voluntary Work, Unpaid Household Work Feminisation of the Workforce Work Values, Work Plans and Social Interaction in the Workplace Labour Mobility and Women's Employment Profiles Occupational Segregation and the Pay Gap Social Engineering: the Role of Law Conclusions: Female Diversity and Workforce Polarisation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Women's underrepresentation in science: sociocultural and biological considerations
Ceci, S. J., Williams, W. M., & Barnett, S. M. (2009) · Psychological Bulletin · doi:10.1037/a0014412 · Cited by 957
Equal but Separate? A Cross-National Study of Sex Segregation in Higher Education
Charles, M., & Bradley, K. (2002) · American Sociological Review · doi:10.2307/3088946 · Cited by 491
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1996-11-01
- Volume
- 34
- Issue
- 03
- Pages
- 34-1637-34-1637
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W2009283877
- Cited by
- 331
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
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.
