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Cited by 305

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Emotions as agency: Feeling rules, emotion labor, and English language teachers’ decision-making

Benesch, Sarah·2018·System

Abstract

Abstract This article explores feeling rules and emotion labor as tools of language teachers' agency and decision-making. Grounded in a poststructural-discursive approach to emotions, one that considers the relationship between emotions and power, feeling rules and emotion labor are highlighted as possible areas of resistance and reform in language teaching. To illustrate emotions as agency, interview data about English language teachers’ responses to plagiarism is presented, including resistance to the feeling rules of a university plagiarism policy. Also discussed will be emotion labor revealed during interviews with these teachers about addressing plagiarism in student texts. The chapter ends with implications of feeling rules and emotion labor for future language-teacher education.

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Crossref · 10.1016/j.system.2018.03.015

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Research works printed but not linked: 1

  1. Goldsmith, 2011, It's not plagiarism in the digital age, it's repurposing, The Chronicle Review, 11

Metadata

Authors
Benesch, S.
Venue
System
Publisher
Elsevier BV
Published
2018-12
Volume
79
Pages
60-69
ISSN
0346-251X (ISSN-L)
OpenAlex
W2801579581
Cited by
305
References
30
FWCI
26.77
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Emotions as agency: Feeling rules, emotion labor, and English language teachers’ decision-making. https://app.cochat.ai/papers/10.1016/j.system.2018.03.015
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Benesch, S. (2018). Emotions as agency: Feeling rules, emotion labor, and English language teachers’ decision-making. System. https://doi.org/10.1016/j.system.2018.03.015

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.