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The University of Western Ontario

Extracting Prototypes From Lexical Feature Norms for Settlement Concepts

Abstract

dc:description.abstract

The present study explored whether people share a common understanding of different settlement concepts despite individual variation. Participants completed a property listing task where they were asked to generate features for 57 settlement concepts. Hierarchical cluster analysis identified distinct clusters based on shared features. Central tendencies extracted from clusters at different levels of abstraction revealed featural prototypes and an overall family resemblance structure. To probe the effects of regional context on conceptual structure, subsequent cluster analyses used a subset of participants who were long-term residents of Canada or the United States. Prototypical features varied regionally, suggesting an effect of geographical region on conceptual structure. However, the results should be interpreted cautiously, as more data are needed to understand such differences in representation. Findings centralize the utility of semantic feature norms in understanding how people collectively think about where they live, and the importance of context effects on representations of settlements.

Degree

thesis:*
Name thesis:degree_name
M Sc
Discipline thesis:degree_discipline
Psychology
Grantor dc:publisher
The University of Western Ontario
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • McKenzie, Chelsea-Leigh M
Advisor dc:contributor.advisor
  • John Paul Minda

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en_ca

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:uwo.scholaris.ca:20.500.14721/34717

Chain of custody

source
Harvested from
Western University
Base URL
uwo.scholaris.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

McKenzie, Chelsea-Leigh M. Extracting Prototypes From Lexical Feature Norms for Settlement Concepts. The University of Western Ontario, 2024. https://hdl.handle.net/20.500.14721/34717