Sexual Violence on University Campuses: Differences and Similarities in the Experiences of Students, Professors and Employees
Bibliographic record
Abstract
This article presents a portrait of sexual violence on university campuses (SVUC) at six universities in Québec (Canada) and explores differences and similarities in the experiences of students, professors and employees. Data are drawn from the Enquête Sexualité, Sécurité et Interactions en Milieu Universitaire (ESSIMU). They reveal disturbing rates of SVUC among students (36.2%), professors (38.8%) and employees (38.7%). The results show that the hierarchical status of perpetrators was higher than that of victims for a significant proportion of professors (33%) and employees (50.7%). When asked about the type of assistance they would want in the event of SVUC, the majority of students, professors and employees affirmed they would want support during the reporting/complaint process, information about available recourse within the university to report the incident, and psychological support provided by a resource outside the university.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".