State of the Science Brief: Programmatic Approaches to Sexual Violence Prevention and Risk Reduction in Post-Secondary Settings
Bibliographic record
Abstract
The authors of this paper and Shift: The Project to End Domestic Violence believe that sexual assault is NEVER the victim’s fault. Further, we wish to emphasize that research on risk reduction should not be taken to imply that victims are responsible for protecting themselves from assault. For too long, survivors have been blamed by individuals and systems for sexual assault, and thus we must whole-heartedly resist any discourse that blames and shames victims. However, we have found through the research that effective rape resistance programs within a specific context may impact the experience of sexual violence, and so we chose to present that research here. To that end, readers should only consider the presented research and findings within the context of the post-secondary environment, as this is the setting where all reported research was conducted: the post-secondary environment is a unique setting and we thus discourage the generalization of findings to other settings and age groups. It is our hope that this report leads to a robust discussion of these findings, and what they mean for sexual violence prevention in Alberta.
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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".