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Record W1969717534 · doi:10.1177/1012690212448001

Overexposed: Capturing a secret side of sports photography

2012· article· en· W1969717534 on OpenAlexaff
Patrice A. Keats, William R. Keats-Osborn

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsVoyeurismAmbiguityPornographyAestheticsPsychologySociologyCitizen journalismAdvertisingSocial psychologyLawPolitical scienceArtComputer science

Abstract

fetched live from OpenAlex

Accredited photographers have been observed taking sexualized, voyeuristic images of athletes that are later distributed on pornography websites and among collectors of pornographic images. As with other emergent forms of digital voyeurism, such as upskirting, these images are taken in public places in such a way that they capture compromising moments without any awareness on the part of the victim, and expand the temporal and geographical scope of the intrusion. Such a prurient use of photographs can be devastating and humiliating for the athletes. An examination of the ambiguity of an image’s meaning, especially in the eyes of the law, is used to demonstrate the inadequacy of legal approaches to policing these kinds of voyeurism. In addition, an exploration of the culture of sports journalism, where the priority of self-promotion and competition often underscores the lack of attention given to the rampant sexism that frequently pervades the profession, is used to illustrate the apparent factors that precipitate and maintain the practice of sports voyeurism. Recommendations for potential interventions and further research are provided.

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)0.004
metaresearch head score (Gemma)0.012
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.008
Scholarly communication0.0040.005
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.041
GPT teacher head0.347
Teacher spread0.306 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueInternational Review for the Sociology of SportSame topicSports, Gender, and SocietyFrench-language works237,207