CampUS Safety Project: A Model for Engaging Young People to Prevent Violence Against Women on Post-Secondary Campuses in Canada
Bibliographic record
Abstract
Colleges and universities in Canada are home to young women whom are at the highest statistical risk of experiencing gender-based violence. In this, it makes sense that campus administration, social service providers and campus police come together to consider ways to address violence against women on campuses. Postsecondary staff and stakeholders ought to be asking: What safety concerns are young women facing at this post-secondary campus? What help is available to support young women affected by violence at our university or college? What are the gaps? What measures is our post-secondary institution undertaking to prevent and reduce violence against young women on campus?. This paper focuses on one Engaging Young People to Prevent Violence against Women on Post-Secondary Campuses initiative: the CampUS Safety Project. CampUS was initiated by Interim Place, a community organization providing shelter, support, counselling and advocacy to help abused women and their children, and the University of Toronto Mississauga. The goals of the CampUS initiative were to conduct a campus safety audit; research the experiences of young women on UTM’s campus; develop a community campus safety plan; develop and implement an education, awareness and violence prevention campaign; and document and share best practices with other campuses. In this paper, I share highlights of what we learned while developing and delivering the CampUS initiative. This includes recommendations for engaging students in preventing and reducing violence against young women on post-secondary campuses elsewhere.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".