A Popular Approach, but Do They Work? A Systematic Review of Social Marketing Campaigns to Prevent Sexual Violence on College Campuses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
College campuses continue to face high rates of sexual violence and social marketing campaigns have emerged as a common prevention strategy. However, there exists no summative research examining the effectiveness of this approach. A systematic search yielded 15 evaluations of eight unique prevention campaigns, which contributed to 38 individual outcome measures across four outcome categories (i.e., knowledge, attitudes, intentions/efficacy, and behavior). Summative results are mixed, but show promising campaign effects for increasing knowledge, modification of some attitudes toward sexual violence, intentions to participate, and actual participation in prevention activities. More evaluative research is needed for a comprehensive understanding of campaign effectiveness.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it