TY - JOUR
T1 - Field-Specific Ability Beliefs as an Explanation for Gender Differences in Academics’ Career Trajectories
T2 - Evidence From Public Profiles on ORCID.org
AU - Hannak, Aniko
AU - Joseph, Kenneth
AU - Larremore, Daniel B.
AU - Cimpian, Andrei
N1 - Funding Information:
This work was supported in part by grants from the U.S. National Science Foundation to Andrei Cimpian (Grant BCS-1733897), Kenneth Joseph (Grant IIS-2145051), and Daniel B. Larremore (Grant SMA-1633747), the Russell Sage Foundation to Aniko Hannak (Grant 92-17-03), and the Air Force Office of Scientific Research to Daniel B. Larremore (Grant FA9550-19-1-0329). Open Researcher and Contributor ID (ORCID) was not involved in designing, conducting, or writing up this research; data were used with the appropriate permissions and according to ORCID’s terms of service.
Publisher Copyright:
© 2023 American Psychological Association
PY - 2023
Y1 - 2023
N2 - Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in fieldspecific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on “brilliance” (i.e., exceptional intellectual ability), which is a trait culturally associatedwith men more thanwomen.Although priorwork has documented a relation between academic fields’ FABs and their gender composition, it is still unclear what the underlying dynamics are that give rise to gender imbalances across academia as a function of FABs. To provide insight into this issue,we custom-built a newdata set by combining information fromthe author-tracking serviceOpen Researcher and Contributor ID (ORCID) with information from a survey of U.S. academics across 30 fields. Using this expansive longitudinal data set (Ns = 86,879–364,355), we found that women were underrepresented among those who enter fields with brilliance-oriented FABs and overrepresented among those who exit these fields. We also found that FABs’ association with women’s transitions across academic fields was substantially stronger than their association with men’s transitions. With respect to mechanisms, FABs’ association with gender segregation was partially explained by the fact that women encounter more prejudice in fields with brilliance-oriented FABs. With its focus on the dynamic patterns shaping segregation and its broad scope in terms of geography, career stage, and historical time, this research makes an important contribution toward understanding the factors driving gender segregation in academia.
AB - Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in fieldspecific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on “brilliance” (i.e., exceptional intellectual ability), which is a trait culturally associatedwith men more thanwomen.Although priorwork has documented a relation between academic fields’ FABs and their gender composition, it is still unclear what the underlying dynamics are that give rise to gender imbalances across academia as a function of FABs. To provide insight into this issue,we custom-built a newdata set by combining information fromthe author-tracking serviceOpen Researcher and Contributor ID (ORCID) with information from a survey of U.S. academics across 30 fields. Using this expansive longitudinal data set (Ns = 86,879–364,355), we found that women were underrepresented among those who enter fields with brilliance-oriented FABs and overrepresented among those who exit these fields. We also found that FABs’ association with women’s transitions across academic fields was substantially stronger than their association with men’s transitions. With respect to mechanisms, FABs’ association with gender segregation was partially explained by the fact that women encounter more prejudice in fields with brilliance-oriented FABs. With its focus on the dynamic patterns shaping segregation and its broad scope in terms of geography, career stage, and historical time, this research makes an important contribution toward understanding the factors driving gender segregation in academia.
KW - Big Data
KW - academia
KW - gender
KW - segregation
KW - stereotypes
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U2 - 10.1037/pspa0000348
DO - 10.1037/pspa0000348
M3 - Article
C2 - 37347899
AN - SCOPUS:85162994765
SN - 0022-3514
JO - Journal of personality and social psychology
JF - Journal of personality and social psychology
ER -