Bibliographic record
Abstract
Sexual violence on college campuses is not a new issue, however, the current media spotlight has brought greater public attention to this problem. Yet, despite this attention, there continues to be incidences of sexual violence across university campuses, and in university athletics in particular. In more than 100 cases of sexual violence on Canadian university campuses over a ten-year span, 23% involved university athletes as alleged perpetrators (Quinlan et al.). Given that competitive athletes compose between 1-3% of the university student population in Canada, they are over-represented in reported cases of sexual violence (Quinlan et al.), which suggests that sexual violence in university sport is particularly problematic. In this paper, this issue is addressed by asking how ruling relations inform institutional responses to sexual violence. First, to explore this question a literature review of sexual violence in sport is provided. Second, a description of how the ruling relations of organizations as a conceptual framework is outlined. Third, a consideration of the institutional responses to two cases of sexual violence in university athletics reported in the Canadian media are described. Following a discussion concerning these cases, suggestions are offered that address sexual violence in Canadian university sport, which may be translatable to other contexts.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".