Why cultural distance can promote - or impede - group-beneficial outcomes.

IF 2.2 Q1 ANTHROPOLOGY Evolutionary Human Sciences Pub Date : 2024-03-11 eCollection Date: 2024-01-01 DOI:10.1017/ehs.2024.8
Bret Alexander Beheim, Adrian Viliami Bell
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Abstract

Quantifying the distance between cultural groups has received substantial recent interest. A key innovation, borrowed from population genetics, is the calculation of cultural FST (CFST) statistics on datasets of human culture. Measuring the variance between groups as a fraction of total variance, FST is theoretically important in additive models of cooperation. Consistent with this, recent empirical work has confirmed that high values of pairwise CFST (measuring cultural distance) strongly predict unwillingness to cooperate with strangers in coordination vignettes. As applications for CFST increase, however, there is greater need to understand its meaning in naturalistic situations beyond additive cooperation. Focusing on games with both positive and negative frequency dependence and high-diversity, mixed equilibria, we derive a simple relationship between FST and the evolution of group-beneficial traits across a broad spectrum of social interactions. Contrary to standard assumptions, this model shows why FST can have both positive and negative marginal effects on the spread of group-beneficial traits under certain realistic conditions. These results provide broader theoretical direction for empirical applications of CFST in the evolutionary study of culture.

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为什么文化距离会促进或阻碍对群体有益的结果?
量化文化群体之间的距离最近受到了广泛关注。借鉴群体遗传学的一项重要创新是计算人类文化数据集上的文化距离统计(CFST)。FST 用总方差的一部分来衡量群体间的方差,在理论上对合作的加法模型非常重要。与此相一致的是,最近的实证研究证实,成对 CFST 的高值(衡量文化距离)可强烈预测在协调小故事中与陌生人合作的意愿。然而,随着 CFST 应用的增加,人们更需要了解它在自然情况下的意义,而不仅仅是加法合作。我们以具有正负频率依赖性和高多样性混合均衡的博弈为重点,推导出了在广泛的社会互动中,FST 与群体有益特质进化之间的简单关系。与标准假设相反,这个模型显示了为什么在某些现实条件下,FST 对群体有益性状的传播既有正的边际效应,也有负的边际效应。这些结果为 CFST 在文化进化研究中的实证应用提供了更广阔的理论方向。
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来源期刊
Evolutionary Human Sciences
Evolutionary Human Sciences Social Sciences-Cultural Studies
CiteScore
4.60
自引率
11.50%
发文量
49
审稿时长
10 weeks
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