Bibliographic record
Abstract
The recent allegations of widespread child abuse at Penn State add to the already lengthy and never ending litany of scandals and problems associated within and around intercollegiate athletics. We begin this article by briefly situating these abuses within their socio-historical context and the complex power relations of intercollegiate athletics. We surmise that the economic, social, and moral problems associated with intercollegiate athletics (including Penn State) are nothing new, although they are currently receiving greater attention and scrutiny from scholars and the media. While criticizing intercollegiate athletics consistent inability to align itself with educational values and govern its coaches is worthwhile, its constituents comprise a tiny fraction of all sporting participants. We argue that a more prudent way forward for sport, at all levels, is through coach education and increased regulation. Curiously, the preparation and regulation of coaches has been a major omission from American society. In order to rectify these concerns, we conclude that now is the time to make the educator-coach the new norm
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.040 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".