The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Nature of Gender
Abstract
I explain a biosocial model of women’s gendered behavior (behavior on which the sexes differ). This model integrates a macro sociological theory with a biological theory derived from primate behavior. The sociological model is designed to explain changes in the relationship between sex and behavior over time or between groups. The biological model is designed to explain individual within-sex variance and between-sex variance in gendered behavior in a cohort. Results from an original study are presented to demonstrate that within-sex variance in women’s gendered behavior is explained well by the primate model. I conclude that human nature is gendered. The implications of this conclusion are explored for demographic and other social science research.
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Cites
Science as Social Knowledge: Values and Objectivity in Scientific Inquiry
Longino, H. E. (1990) · doi:10.1515/9780691209753 · Cited by 3,092
Cited by
Chamberlain (2005) · doi:10.1016/j.neubiorev.2004.11.004 · Cited by 529
The Sociology of Adolescence and Youth in the 1990s: A Critical Commentary
Furstenberg, F. F. (2000) · Journal of Marriage and Family · doi:10.1111/j.1741-3737.2000.00896.x · Cited by 277
Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions
Alkhatib, A., & Bernstein, M. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300760 · Cited by 188
Metadata
- Authors
- Udry, J. R.
- Venue
- Demography
- Publisher
- Duke University Press
- Published
- 1994-11-01
- Volume
- 31
- Issue
- 4
- Pages
- 561-573
- ISSN
- 0070-3370 (ISSN-L)
- 1533-7790
- OpenAlex
- W2165853607
- Cited by
- 170
- References
- 1
- FWCI
- 9.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- Udry, J. R. (1994). The Nature of Gender. Demography. https://doi.org/10.2307/2061790
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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.
