Difference between revisions of "Etalamaki2021b"

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|Language=English
 
|Language=English
 
|Journal=Discourse Studies
 
|Journal=Discourse Studies
|Pages=1-23
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|URL=https://onlinelibrary.wiley.com/doi/abs/10.1111/ijal.12338
|URL=https://journals-sagepub-com.kuleuven.e-bronnen.be/doi/full/10.1177/14614456211017407#_i1
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|DOI=10.1177/14614456211017407
|DOI=https://doi.org/10.1177/14614456211017407
 
 
|Abstract=In this paper, we address the larger notion of cooperation in interaction and its underlying dimensions as defined in Conversation Analysis: alignment and affiliation. Focusing on three cases from three different languages (Danish, Estonian and Finnish) we investigate a specific practice, that of anticipatory completions, in a particular context, that of storytelling, and show that the practice of completing another speaker’s turn in an anticipatory manner is not de facto definable as either an aligning or non-aligning action, nor can it be said to be either affiliating or non-affiliating. Through our analyses, we aim to distinguish and illustrate the manifold layers of and perspectives to alignment and affiliation and argue for their relevance for studies of interactional phenomena. We conclude that the notion of cooperation and its implementation through affiliating and/or aligning actions is a multi-layered and complex issue, the intricacies of which are best understood and captured through detailed sequential analyses.
 
|Abstract=In this paper, we address the larger notion of cooperation in interaction and its underlying dimensions as defined in Conversation Analysis: alignment and affiliation. Focusing on three cases from three different languages (Danish, Estonian and Finnish) we investigate a specific practice, that of anticipatory completions, in a particular context, that of storytelling, and show that the practice of completing another speaker’s turn in an anticipatory manner is not de facto definable as either an aligning or non-aligning action, nor can it be said to be either affiliating or non-affiliating. Through our analyses, we aim to distinguish and illustrate the manifold layers of and perspectives to alignment and affiliation and argue for their relevance for studies of interactional phenomena. We conclude that the notion of cooperation and its implementation through affiliating and/or aligning actions is a multi-layered and complex issue, the intricacies of which are best understood and captured through detailed sequential analyses.
 
}}
 
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Revision as of 05:39, 21 September 2021

Etalamaki2021b
BibType ARTICLE
Key Etalamaki2021b
Author(s) Marja Etelämäki, Trine Heinemann, Anna Vatanen
Title On affiliation and alignment: Non-cooperative uses of anticipatory completions in the context of tellings
Editor(s)
Tag(s) EMCA, Conversation analysis, alignment, affiliation, cooperation, anticipatory completions, tellings, In Press
Publisher
Year 2021
Language English
City
Month
Journal Discourse Studies
Volume
Number
Pages
URL Link
DOI 10.1177/14614456211017407
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

In this paper, we address the larger notion of cooperation in interaction and its underlying dimensions as defined in Conversation Analysis: alignment and affiliation. Focusing on three cases from three different languages (Danish, Estonian and Finnish) we investigate a specific practice, that of anticipatory completions, in a particular context, that of storytelling, and show that the practice of completing another speaker’s turn in an anticipatory manner is not de facto definable as either an aligning or non-aligning action, nor can it be said to be either affiliating or non-affiliating. Through our analyses, we aim to distinguish and illustrate the manifold layers of and perspectives to alignment and affiliation and argue for their relevance for studies of interactional phenomena. We conclude that the notion of cooperation and its implementation through affiliating and/or aligning actions is a multi-layered and complex issue, the intricacies of which are best understood and captured through detailed sequential analyses.

Notes