Okazawa2024

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Okazawa2024
BibType ARTICLE
Key Okazawa2024
Author(s) Ryo Okazawa
Title Fictional characterization through repair, membership categorization, and attribute ascription
Editor(s)
Tag(s) EMCA, Attribute, Characterization, Conversation analysis, Membership categorization analysis, MCA, Repair, Telecinematic discourse, In press
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Year 2024
Language English
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Journal Text & Talk
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Pages
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DOI 10.1515/text-2023-0033
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Howpublished
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Abstract

Linguistics and discourse studies have recently started treating fictional interactions as data worth analyzing in their own right, rather than incomplete representations of naturally occurring conversations. Aligning with advances in research on the use of language in fiction, this study addresses the functions of characters’ conversational practices in fictional works from an interactional perspective. By applying conversation analysis and membership categorization analysis to a sitcom series, this study explores how characters’ repair operation, membership categorization, and attribute ascription contribute to the construction and revelation of those characters (i.e., fictional characterization). Three patterns are illustrated: (1) a character engages in implicit categorization to account for trouble after operating repair; (2) a character’s changes of turn design in multiple repair operations show the character’s orientation toward an attribute of the other character; and (3) a character gives up repair operation and shows an orientation toward other characters’ attributes through implying negative assessment of them. The findings suggest that conversation analysis and membership categorization analysis are beneficial for research on fictional characterization. This study also discusses the reflexive and mutually constitutive relationship between the interactional participants’ characters and their conversational practices.

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