The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Masculine defaults: Identifying and mitigating hidden cultural biases.
Open accessAbstract
Understanding and remedying women's underrepresentation in majority-male fields and occupations require the recognition of a lesser-known form of cultural bias called masculine defaults. Masculine defaults exist when aspects of a culture value, reward, or regard as standard, normal, neutral, or necessary characteristics or behaviors associated with the male gender role. Although feminist theorists have previously described and analyzed masculine defaults (e.g., Bem, 1984; de Beauvoir, 1953; Gilligan, 1982; Warren, 1977), here we define masculine defaults in more detail, distinguish them from more well-researched forms of bias, and describe how they contribute to women's underrepresentation. We additionally discuss how to counteract masculine defaults and possible challenges to addressing them. Efforts to increase women's participation in majority-male departments and companies would benefit from identifying and counteracting masculine defaults on multiple levels of organizational culture (i.e., ideas, institutional policies, interactions, individuals). (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color
Crenshaw, K. (1991) · Stanford Law Review · doi:10.2307/1229039 · Cited by 32,792
Culture and the self: Implications for cognition, emotion, and motivation.
Markus, H. R., & Kitayama, S. (1991) · Psychological Review · doi:10.1037/0033-295x.98.2.224 · Cited by 21,995
Self-citation(1991) · Choice Reviews Online · doi:10.5860/choice.28-6498 · Cited by 8,149
Fiske, S. T., Cuddy, A. J. C., Glick, P., & Xu, J. (2002) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.82.6.878 · Cited by 7,364
Habits of the Heart: Individualism and Commitment in American Life
Steidlmeier, P., Bellah, R. N., Madsen, R., Swindler, A., Sullivan, W. M., & Tipton, S. M. (1986) · Review of Religious Research · doi:10.2307/3511439 · Cited by 5,061
Women's Ways of Knowing: The Development of Self, Voice, and Mind
Brookes, A.-L., Belenky, M. F., Clinchy, B. M., Goldberger, N. R., & Tarule, J. M. (1988) · Curriculum Inquiry · doi:10.2307/1179565 · Cited by 4,915
(1949) · Cited by 4,313
Vygotsky and the Social Formation of Mind
Kozulin, A., & Wertsch, J. V. (1987) · The American Journal of Psychology · doi:10.2307/1422646 · Cited by 3,341
The gender similarities hypothesis.
Hyde, J. S. (2005) · American Psychologist · doi:10.1037/0003-066x.60.6.581 · Cited by 3,084
Understanding HRM–Firm Performance Linkages: The Role of the “Strength” of the HRM System
Bowen, D. E., & Ostroff, C. (2004) · Academy of Management Review · doi:10.5465/amr.2004.12736076 · Cited by 2,996
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Schaerer, M., du Plessis, C., Nguyen, M. H. B., van Aert, R. C. M., Tiokhin, L., Lakens, D., Giulia Clemente, E., Pfeiffer, T., Dreber, A., Johannesson, M., et al. (2023) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2023.104280 · Cited by 87
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Metadata
- Authors
- Cheryan, S., & Markus, H. R.
- Venue
- Psychological Review
- Published
- 2020-11
- Volume
- 127
- Issue
- 6
- Pages
- 1022-1052
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W3066926406
- Cited by
- 328
- References
- 97
- FWCI
- 52.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
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