Department of Psychology, University of Milano-Bicocca, Milano, Italy.
NeuroMI, Milan Center for Neuroscience, Milano, Italy.
J Neurosci Res. 2023 May;101(5):679-688. doi: 10.1002/jnr.25056. Epub 2022 Apr 20.
Whether mathematics is a gendered domain or not is a long-lasting issue bringing along major social and educational implications. The females' underrepresentation in science, technology, engineering, and mathematics (STEM) has been considered one of the key signs of the math gender gap, although the current view largely attributes the origin of this phenomenon to sociocultural factors. Indeed, recent approaches to math gender differences reached the universal conclusion that nature and nurture exert reciprocal effects on each other, establishing the need for approaching the study of the math gender issue only once its intrinsic complexity has been accepted. Building upon a flourishing literature, this review provides an updated synthesis of the evidence for math gender equality at the start, and for math gender inequality on the go, challenging the role of biological factors. In particular, by combining recent findings from different research areas, the paper discusses the persistence of the "math male myth" and the associated "female are not good at math myth," drawing attention to the complex interplay of social and cultural forces that support such stereotypes. The suggestion is made that longevity of these myths results from the additive effects of two independent cognitive biases associated with gender stereotypes and with math stereotypes, respectively. Scholars' responsibility in amplifying these myths by pursuing some catching lines of research is also discussed.
数学领域是否存在性别差异是一个由来已久的问题,涉及到重大的社会和教育影响。女性在科学、技术、工程和数学(STEM)领域的代表性不足一直被认为是数学性别差距的一个重要标志,尽管目前的观点在很大程度上将这种现象的起源归因于社会文化因素。事实上,最近关于数学性别差异的研究方法得出了一个普遍的结论,即先天和后天相互影响,这就需要在接受数学性别问题的内在复杂性之后,才能对其进行研究。本综述以丰富的文献为基础,首先提供了关于数学性别平等的最新综合证据,然后提供了关于数学性别不平等的最新综合证据,挑战了生物学因素的作用。特别是,本文通过结合来自不同研究领域的最新发现,讨论了“数学男性神话”和相关的“女性不擅长数学神话”的持续存在,提请注意支持这些刻板印象的社会和文化力量的复杂相互作用。有人认为,这些神话之所以能够长期存在,是因为与性别刻板印象和数学刻板印象分别相关的两种独立认知偏见的累积效应。本文还讨论了学者们在追求某些引人注目的研究路线时,放大这些神话的责任。