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Record W4408995260 · doi:10.1080/13573322.2025.2485253

Motherhood journeys on and off the ice: a narrative analysis of media stories of queer and heterosexual hockey mothers

2025· article· en· W4408995260 on OpenAlexafffund
Willa Hladun, Kerry R. McGannon, Ann Pegoraro, Barbara Ravel, Andrea Bundon

Bibliographic record

VenueSport Education and Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of British ColumbiaUniversity of GuelphLaurentian University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNarrativeIce hockeyQueerNarrative inquiryGender studiesSociologyHeteronormativityPsychologyQueer theoryHeterosexualityHuman sexualityArtLiterature

Abstract

fetched live from OpenAlex

This study builds on research on athlete mothers showing the impact/influence of media stories, and media research centering portrayals and perceptions of (non)biological queer athlete mothers. We sought to expand understanding of less studied aspects of socially constructed motherhood concerning sexual orientation, (non)biological motherhood, and sport career in ice hockey. Media stories of eight North American professional queer and heterosexual hockey mothers (n = 112) were subjected to a thematic narrative analysis and theorized using narrative inquiry. We identified four themes: stand out, stand up, a new generation, and queer mothers: they’re just like us! Themes are discussed in relation to heterosexual motherhood ideals (e.g. super moms, quick comebacks, biological essentialism), activist athlete mother identities, queer athlete mother (in)visibility, and expanded ethic of care. We conclude with discussing the value of media narratives theorized as sources of social relational meaning in stories and contributions toward (in)visibility of queer and heterosexual athlete mothers, and future research.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.328
Teacher spread0.311 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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