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Record W2096880801 · doi:10.1177/2167479515588761

“It’s Dude Time!”

2015· article· en· W2096880801 on OpenAlexaboutno aff
Cheryl Cooky, Michael A. Messner, Michela Musto

Bibliographic record

VenueCommunication & Sport · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
FundersUniversity of MichiganPurdue University
KeywordsBasketballFootballGender equityAthletesQuarter (Canadian coin)AdvertisingGender studiesPsychologyPolitical scienceHistorySociologyMedicineLaw

Abstract

fetched live from OpenAlex

The last quarter century has seen a dramatic movement of girls and women into sport, but this social change is reflected unevenly in sports media. This study, a 5-year update to a 25-year longitudinal study, indicates that the quantity of coverage of women’s sports in televised sports news and highlights shows remains dismally low. Even more so than in past iterations of this study, the lion’s share of coverage is given to the “big three” of men’s pro and college football, basketball, and baseball. The study reveals some qualitative changes over time, including a decline in the once-common tendency to present women as sexualized objects of humor replaced by a tendency to view women athletes in their roles as mothers. The analysis highlights a stark contrast between the exciting, amplified delivery of stories about men’s sports, and the often dull, matter-of-fact delivery of women’s sports stories. The article ends with suggestions for three policy changes that would move TV sports news and highlights shows toward greater gender equity and fairness.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0060.007
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0330.009

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 head0.089
GPT teacher head0.353
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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

Citations344
Published2015
Admission routes1
Has abstractyes

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