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Record W80257250 · doi:10.1123/wspaj.12.1.1

Newspaper Coverage of Female Athletes Competing in Selected Sports in the 1996 Centennial Olympic Games: The More Things Change the More They Stay the Same

2003· article· en· W80257250 on OpenAlexaboutno aff
John Vincent, Charles H. Imwold, Joy Johnson, Dwayne Massey

Bibliographic record

VenueWomen in Sport and Physical Activity Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperCentennialAthletesField hockeyAdvertisingPoliticsTrack and field athleticsGender studiesPsychologyPolitical scienceMedia studiesSociologyHistoryLawMedicinePhysical therapy

Abstract

fetched live from OpenAlex

This study was a comparison of how selected newspapers from Canada, Great Britain, and the United States reported on female athletes competing in four “gender-appropriate” sports with female athletes competing in four “gender-inappropriate” sports at the Centennial Olympic Games. The liberal feminist theoretical framework underpinning this study views equality of opportunity and individual liberty as an inevitable by-product of political, legal, and educational reform juxtaposed with a gradual social acceptance. Content Analysis was used to examine all the articles and photographs from the front pages and the sports sections of the newspapers. Based upon the data, female athletes competing in the “gender-appropriate” sports of swimming, gymnastics, tennis, and diving received more newspaper coverage than female athletes competing in the “gender-inappropriate” sports of soccer, softball, field hockey, and volleyball in terms of the average number of words per article and the average number of paragraphs per article. In addition, the “gender-appropriate” athletes were over-represented in the average number of photographs, the average number of photographs on the first page, and the average number of photographs on the top of the pages. Qualitative analyses of articles and photographs revealed a subtle but discernable amount of culturally stereotyped coverage.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.279
Teacher spread0.257 · 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 designObservational
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

Citations48
Published2003
Admission routes1
Has abstractyes

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