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恰似一场马戏表演:公众对性别差异的消费。

Just like a circus: the public consumption of sex differences.

作者信息

Maney Donna L

机构信息

Department of Psychology, Emory University, Atlanta, GA, 30322, USA,

出版信息

Curr Top Behav Neurosci. 2015;19:279-96. doi: 10.1007/7854_2014_339.

Abstract

The study of sex differences is a rich, productive area of neuroscience, yielding findings that inform our understanding of basic biology and hold promise for clinical applications. There is a tremendous, problematic mismatch, however, between the actual implications of this research and what has generally been communicated to the public. The message communicated by the media, popular press, and in some cases researchers is often inaccurate with respect to what can and cannot be concluded from the data. This misrepresentation of findings has led to a crisis in public education and threatens to do the same in public health. Here, I suggest a number of ways that neuroscientists might address this growing problem. First, we should acknowledge that the term 'sex difference' is usually interpreted by the media and the public as evidence for dichotomous categories that do not actually exist. Because data rarely sort so cleanly into sex-specific categories, clearer presentation of the nature and size of sex differences is warranted. The term 'sex effect' may be preferable to 'sex difference' when the effect is not large. Second, factors that covary with sex, particularly experience, should be considered as causes of sex differences before the idea of "hardwiring" is invoked. Finally, we should be more vigilant about how our own findings are conveyed to policymakers and the public and speak out when they are misrepresented.

摘要

性别差异研究是神经科学中一个丰富且富有成效的领域,其研究结果有助于我们理解基础生物学,并为临床应用带来希望。然而,这项研究的实际意义与通常向公众传达的内容之间存在巨大且成问题的不匹配。媒体、大众媒体以及在某些情况下研究人员所传达的信息,在从数据中可以得出什么结论以及不能得出什么结论方面往往不准确。对研究结果的这种错误表述已导致公共教育出现危机,并有可能在公共卫生领域造成同样的危机。在此,我提出一些神经科学家可以解决这个日益严重问题的方法。首先,我们应该认识到,“性别差异”这个术语通常被媒体和公众解释为并不实际存在的二分法类别的证据。由于数据很少能如此清晰地归入特定性别的类别,因此有必要更清晰地呈现性别差异的性质和程度。当效应不大时,“性别效应”这个术语可能比“性别差异”更可取。其次,在援引“硬连线”概念之前,应将与性别相关的因素,特别是经验,视为性别差异的原因。最后,我们应该更加警惕我们自己的研究结果是如何传达给政策制定者和公众的,当它们被错误表述时要大声说出来。

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