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Revealing Criterial Vagueness in Inconsistencies
Steven Verheyen, Anne White, Paul Egré

Revealing Criterial Vagueness in Inconsistencies

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

Sixty undergraduate students made category membership decisions for each of 132 candidate exemplar-category name pairs (e.g., chess-Sports) in each of two separate sessions. They were frequently inconsistent from one session to the next, both for nominal categories such as Sports and Fish, and ad hoc categories such as Things You Rescue from a Burning House. A mixture model analysis revealed that several of these inconsistencies could be attributed to criterial vagueness: participants adopting different criteria for membership in the two sessions. This finding indicates that categorization is a probabilistic process, whereby the conditions for applying a category label are not invariant. Individuals have various functional meanings of nominal categories at their disposal and entertain competing goals for ad hoc categories.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Revealing Criterial Vagueness in Inconsistencies
Author / Organization Steven Verheyen, Anne White, Paul Egré
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-210262
Original Source Link Visit Source Page on hal.science »