Department of Informatics, University of Zurich.
Department of Computer Science and Engineering, University at Buffalo.
J Pers Soc Psychol. 2023 Oct;125(4):681-698. doi: 10.1037/pspa0000348. Epub 2023 Jun 22.
Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in (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 associated with men more than women. Although prior work 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 new data set by combining information from the author-tracking service Open Researcher and Contributor ID (ORCID) with information from a survey of U.S. academics across 30 fields. Using this expansive longitudinal data set (s = 86,879-364,355), we found that women were underrepresented among those who fields with brilliance-oriented FABs and overrepresented among those who 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. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
学术领域存在着显著的性别隔离现象。在这里,我们研究了(FABs)差异,以解释这种现象。FABs 可能会导致性别隔离,因为它们将成功描绘为取决于“卓越”(即非凡的智力能力),而这一特质在文化上与男性的联系比女性更紧密。尽管先前的工作已经记录了学术领域的 FABs 与其性别构成之间的关系,但仍不清楚是什么潜在的动态因素导致学术界的性别失衡与 FABs 有关。为了深入了解这个问题,我们通过将作者跟踪服务 Open Researcher and Contributor ID(ORCID)的信息与对 30 个领域的美国学者的调查信息相结合,构建了一个新的数据集。利用这个广泛的纵向数据集(s=86879-364355),我们发现女性在具有卓越导向 FABs 的领域中的代表性不足,而在这些领域中的代表性过高。我们还发现,FABs 与女性在学术领域之间的转换的关联比与男性转换的关联要强得多。就机制而言,FABs 与性别隔离的关联部分归因于女性在具有卓越导向 FABs 的领域中遇到的更多偏见。这项研究关注塑造隔离的动态模式,以及其在地理、职业阶段和历史时间方面的广泛范围,为理解学术界性别隔离的驱动因素做出了重要贡献。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。