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Record W4405383870 · doi:10.1177/01968599241302849

Open Road to Competition: Media Framing of Social Justice Within Professional Women's Cycling

2024· article· en· W4405383870 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.

Bibliographic record

VenueJournal of Communication Inquiry · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsFraming (construction)CyclingSocial justiceSociologyMedia studiesEconomic JusticePolitical scienceCriminologyLawGeography

Abstract

fetched live from OpenAlex

The creation of women's versions of popular men's cycling races sparked plenty of media attention as women had historically been denied access to these spaces. Since access to these races and subsequent media provides opportunities and benefits for cyclists, the races become potential sites of social justice, underscoring the importance of understanding the media narrative of social justice in women's cycling. Therefore, we analyzed the presence of the five propositions (distributive justice, procedural justice, interactive justice, recognition, care, and repair) of social justice in public spaces in media narratives surrounding the women's Paris-Roubaix and Tour de France. Issues of distributive, procedural, and interactive justice were present in arguments that gatekeepers could not invest in women's cycling without proof of success, as well as in gatekeepers’ reputation of intolerance. Women faced disproportionate burdens due to lack of resources, representing issues of recognition, procedural justice, and distributive justice.

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)0.005
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 score0.109
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 science0.0010.000
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 head0.091
GPT teacher head0.420
Teacher spread0.329 · 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