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Record W4417376488 · doi:10.1080/14660970.2025.2603796

Contesting gender norms in women’s soccer: digital engagement with an activist message

2025· article· en· W4417376488 on OpenAlex
Pascale Marceau, Amélie Guèvremont

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.

Bibliographic record

VenueSoccer and Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsField (mathematics)NarrativeSocial mediaPoliticsNormative

Abstract

fetched live from OpenAlex

Despite the growing popularity of women’s sports, gender inequalities persist. This study explores how a brand activism ad aimed at reshaping representations of women’s soccer can drive digital engagement, showing how social media acts as a space where gender norms in sport are potentially transformed. Based on a survey of 855 adults (France, South Africa, UK), it investigates how involvement in women’s soccer and attitudes towards the ad influence intentions to like, comment, or share the content, and how perceived brand authenticity moderates these effects. Results reveal that involvement and attitude increase engagement. Brand authenticity plays a key role in achieving greater dissemination, especially for complex actions (commenting/sharing) compared to simple ones (liking). These findings illustrate how consumers respond to gender equality-focused activism ads in a male-dominated field, highlighting the importance of brand authenticity in driving virality and ultimately, contributing to collective awareness towards greater equality in sport.

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)0.001
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 score0.094
Threshold uncertainty score0.876

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.306
Teacher spread0.275 · 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