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Record W4409735680 · doi:10.1080/21640629.2025.2496864

Navigating gendered display rules: Women coaches practicing gender through emotional labour

2025· article· en· W4409735680 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSports Coaching Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsEmotional laborPsychologySocial psychologyGender studiesSociology

Abstract

fetched live from OpenAlex

This study aimed to critically explore the gender dynamics of women head coaches’ emotional labour. We applied conceptualisations of “practicing gender” and emotional labour through a post-structural feminist lens to challenge gender-neutral assumptions, examining emotional labour as a gendered and gendering process within organisational sport contexts.In-depth, semi-structured interviews were conducted with nine White, able-bodied, cis-gender, heterosexual women head coaches at Canadian universities. Reflexive thematic analysis was used to analyse the transcript data. The two key themes constructed include: (1) gendered display rules and (2) navigating a double-bind. Our findings demonstrate how women coaches used emotional labour to practice masculine and feminine coded display rules to meet the social, professional and emotional demands of their work as head coaches as well as challenge restrictive gendered assumptions. These findings contribute to the field by illustrating the gendered dynamics of coaching work and the implications for women coaches.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.100
GPT teacher head0.373
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it