Suppr超能文献

关于基因变异的民间信仰预示着对混血个体的回避。

Folk beliefs about genetic variation predict avoidance of biracial individuals.

作者信息

Kang Sonia K, Plaks Jason E, Remedios Jessica D

机构信息

Institute for Management and Innovation, University of Toronto Mississauga Mississauga, ON, Canada ; Rotman School of Management, University of Toronto Toronto, ON, Canada.

Department of Psychology, University of Toronto Toronto, ON, Canada.

出版信息

Front Psychol. 2015 Apr 7;6:357. doi: 10.3389/fpsyg.2015.00357. eCollection 2015.

Abstract

People give widely varying estimates for the amount of genetic overlap that exists between humans. While some laypeople believe that humans are highly genetically similar to one another, others believe that humans share very little genetic overlap. These studies examine how beliefs about genetic overlap affect neural and evaluative reactions to racially-ambiguous and biracial targets. In Study 1, we found that lower genetic overlap estimates predicted a stronger neural avoidance response to biracial compared to monoracial targets. In Study 2, we found that lower genetic overlap estimates predicted longer response times to classify biracial (vs. monoracial) faces into racial categories. In Study 3, we manipulated genetic overlap beliefs and found that participants in the low overlap condition explicitly rated biracial targets more negatively than those in the high overlap condition. Taken together, these data suggest that genetic overlap beliefs influence perceivers' processing fluency and evaluation of biracial and racially-ambiguous individuals.

摘要

人们对人类之间存在的基因重叠量给出了大相径庭的估计。一些外行人认为人类在基因上彼此高度相似,而另一些人则认为人类共享的基因重叠很少。这些研究考察了关于基因重叠的信念如何影响对种族模糊和混血目标的神经及评价反应。在研究1中,我们发现,与单一种族目标相比,较低的基因重叠估计预测出对混血目标更强的神经回避反应。在研究2中,我们发现,较低的基因重叠估计预测出将混血(与单一种族)面孔归类到种族类别中的反应时间更长。在研究3中,我们操纵了基因重叠信念,发现低重叠条件下的参与者比高重叠条件下的参与者更明确地对混血目标给出负面评价。综合来看,这些数据表明基因重叠信念会影响感知者对混血和种族模糊个体的加工流畅性及评价。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/481e/4387932/412c56cd261b/fpsyg-06-00357-g003.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验