Suppr超能文献

分类背景对自然类别的分类影响。

Effects of classification context on categorization in natural categories.

作者信息

Hampton James A, Dubois Danièle, Yeh Wenchi

机构信息

Psychology Department, City University, Northampton Square, London ECIV 0HB, England.

出版信息

Mem Cognit. 2006 Oct;34(7):1431-43. doi: 10.3758/bf03195908.

Abstract

The patterns of classification of borderline instances of eight common taxonomic categories were examined under three different instructional conditions to test two predictions: first, that lack of a specified context contributes to vagueness in categorization, and second, that altering the purpose of classification can lead to greater or lesser dependence on similarity in classification. The instructional conditions contrasted purely pragmatic with more technical/quasi-legal contexts as purposes for classification, and these were compared with a no-context control. The measures of category vagueness were between-subjects disagreement and within-subjects consistency, and the measures of similarity-based categorization were category breadth and the correlation of instance categorization probability with mean rated typicality, independently measured in a neutral context. Contrary to predictions, none of the measures of vagueness, reliability, category breadth, or correlation with typicality were generally affected by the instructional setting as a function of pragmatic versus technical purposes. Only one subcondition, in which a situational context was implied in addition to a purposive context, produced a significant change in categorization. Further experiments demonstrated that the effect of context was not increased when participants talked their way through the task, and that a technical context did not elicit more all-or-none categorization than did a pragmatic context. These findings place an important boundary condition on the effects of instructional context on conceptual categorization.

摘要

在三种不同的教学条件下,研究了八个常见分类类别的边界实例的分类模式,以检验两个预测:第一,缺乏特定背景会导致分类的模糊性;第二,改变分类目的会导致在分类中对相似性的依赖程度更高或更低。教学条件将纯粹务实的背景与更具技术性/准法律性的背景作为分类目的进行对比,并将这些与无背景控制组进行比较。类别模糊性的衡量指标是受试者间的不一致性和受试者内的一致性,基于相似性的分类的衡量指标是类别广度以及实例分类概率与平均评定典型性的相关性,这些是在中性背景下独立测量的。与预测相反,模糊性、可靠性、类别广度或与典型性的相关性的衡量指标,一般都不会因教学设置作为务实与技术目的的函数而受到影响。只有一个子条件,即在目的背景之外还隐含了情境背景,导致分类产生了显著变化。进一步的实验表明,当参与者边做任务边讨论时,背景的影响并没有增加,而且技术背景并没有比务实背景引发更多的全或无分类。这些发现为教学背景对概念分类的影响设定了一个重要的边界条件。

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