Examining the Sexual Violence Prevention Approaches of Toronto Universities: Focus on Varsity Athletic Programs and Sports
Bibliographic record
Abstract
Sexual violence is an ongoing issue that plagues Canadian Universities. This research explores the relationship between university athletics and how this impacts a culture of sexual violence. Student athletes disproportionately represent sexual violence offenders on university campuses; despite this, athletes continue to play an active and public role within university communities (Beaver, 2019). This research explores the sexual violence policies of three predominant universities within the city of Toronto Ontario, Canada. Uncovering through archival analysis and policy review, the lack of preventative intervention available to students. This highlights the ongoing issue of reactive policy that does little to protect students and proactively address the pattern of violence against women as pertains to athletics and sports. Addressing an overrepresented group of perpetrators allows insights into the interconnection between sports and the student athlete within the context of sexual violence which can lead to positive prevention initiatives.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".