Overexposed: Capturing a secret side of sports photography
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".