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Record W4394721623 · doi:10.1080/14413523.2024.2335018

Professional women footballers’ stories of marketing portrayals and sponsorship: “I just had to feel grateful for what I’ve been given”

2024· article· en· W4394721623 on OpenAlex
Laura Harris, Dawn E. Trussell

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

VenueSport Management Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsBrock University
Fundersnot available
KeywordsSports marketingAdvertisingFootballMarketing communicationPsychologySociologyMarketingPolitical scienceBusinessMarketing managementRelationship marketing

Abstract

fetched live from OpenAlex

In this paper we investigate the marketing portrayal and sponsorship experiences of professional women athletes. Specifically, we examine the perspectives of professional women footballers (i.e. soccer) and the ways in which the gender ideal is reproduced, negotiated, and resisted, as well as their (re)imagined equitable sporting future. Using critical feminist narrative inquiry, twelve interviews were conducted with four professional women footballers. Four themes were constructed that call attention to: 1) the lack of commercial sponsorship that limits career growth; 2) performative partnerships that perpetuate inequities; 3) objectifying women athletes through labour exploitation; and 4) limited agency restricts resistance and transformation potential. The findings challenge the concept of sponsorship “partnerships” and expose an exploitative off-pitch reality for women athletes. This study highlights the need for systemic change in professional football for all women to be perceived as legitimate and worthy of investment.

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)0.011
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.622
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.045
GPT teacher head0.354
Teacher spread0.309 · 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