预测结构在同类术语向新指称的推广过程中出现。

Q1 Social Sciences
Open Mind Pub Date : 2025-09-09 eCollection Date: 2025-01-01 DOI:10.1162/OPMI.a.27
Maisy Hallam, Fiona M Jordan, Simon Kirby, Kenny Smith
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引用次数: 0

摘要

尽管在亲属关系如何映射到术语方面存在跨语言多样性,但亲属可能被归类在一起的限制。但是亲属术语变异的制约因素是什么,它们从何而来?一种被提出的约束是内部共同选择——这是一个进化过程,在这一过程中,一代亲属的术语变化与其他几代的平行变化同时发生。这就产生了在其他同类类别的基础上可以预测的同类类别,我们称之为预测结构。为了确定这种约束的强度,我们测量了来自731种语言的亲属术语系统的预测结构。我们发现亲属术语表现出显著程度的预测结构,我们认为其流行反映了在将已知亲属类别推广到新的参考类型期间施加的简单性认知压力。我们使用人工亲属术语泛化任务来测试这一说法。我们的研究结果表明,当人们从已知的亲属类别概括到新的指称物时,人们确实喜欢预测结构,但这种偏好面临着通过性别等特征区分亲属的其他压力的干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Structure Emerges During the Generalisation of Kin Terms to New Referents.

Despite cross-linguistic diversity in how kin relations map to terminology, there are constraints on which kin may be categorised together. But what are the constraints on kin term variation, and where do they come from? One proposed constraint is internal co-selection-an evolutionary process where terminological changes in one generation of kin co-occur with parallel changes in other generations. This results in kin categories which are predictable on the basis of other kin categories, a property we call predictive structure. To determine the strength of this constraint, we measured the predictive structure of kinship terminology systems from 731 languages. We found that kinship terminologies exhibit a significant degree of predictive structure, and we argue that its prevalence reflects a cognitive pressure for simplicity imposed during the generalisation of known kin categories to new referent types. We tested this claim using an artificial kin term generalisation task. Our results suggest that people do favour predictive structure when generalising from known kin categories to new referents, but that this preference faces interference from other pressures to distinguish kin by features like gender.

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来源期刊
Open Mind
Open Mind Social Sciences-Linguistics and Language
CiteScore
3.20
自引率
0.00%
发文量
15
审稿时长
53 weeks
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