Gender-Bias Primes Elicit Queen-Bee Responses Among Senior Policewomen
By B. Derks, C. van Laar, N. Ellemers, Kim de Groot. 2011
165 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Gender Studies, Sociology and Political Science, Social Sciences & Humanities
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Gender Studies
- N. Ellemers
- Floor Rink
- Michelle K. Ryan
- B. Derks
- Aparna Joshi
- Sara R. Berzenski
- Adina Williams
- Manuela Barreto
In Sociology and Political Science
- N. Ellemers
- B. Derks
- Michelle K. Ryan
- Floor Rink
- Angela Fan
- Jason Aaron Edward Weston
- Douwe Kiela
- Emily Dinan
In Social Sciences & Humanities
Citations in the corpus
- Queens Are Powerful Too: Mitigating Gender Bias in Dialogue Generation (2019, background): “of gender stereotype priming (Blair and Banaji, 1996; Steele and Ambady, 2006; Oswald, 2008; Derks et al., 2011; Verhaeghen et al., 2011).”
- Women’s Experiences in eSports: Gendered Differences in Peer and Spectator Feedback During Competitive Video Game Play (2018, background): “Patterns of sexual stereotyping in the workplace, as observed in highly male careers such as gaming, are associated with intensified competition among women (Derks et al., 2011).”
- By Whom and When Is Women’s Expertise Recognized? The Interactive Effects of Gender and Education in Science and Engineering Teams (2014, background): “greater bias toward other women while favoring men in order to enhance their self-esteem (Chattopadhyay, Tluchowska, and George, 2004; Derks et al., 2011).”
- Women in high places: When and why promoting women into top positions can harm them individually or as a group (and how to prevent this) (2012, background): “They try to escape the gendered expectations that would disadvantage their career by displaying masculine self-descriptions, stereotyping other women, and distancing the self from women as a group – all indicators of the queen bee effect (Derks et al., 2011a,b).”