Effectiveness of a sexual assault awareness and prevention workshop for youth: A 3-month follow-up pragmatic cluster randomization study
Bibliographic record
Abstract
Sexual violence and other forms of sexual assault and coercion have a pervasive presence in the lives of many young people. School and community services and programs that are geared toward sexual assault awareness and prevention of sexual violence have thus been offered to youth in high-school settings. The goal of the present study was to assess the effectiveness of one such sexual assault awareness and prevention workshop designed and presented specifically for male and female youth aged 15 to 17 over a three month follow-up. A sample of 794 youth recruited from two schools were randomly assigned to two experimental conditions. Participants completed self-report outcome measures that assessed their knowledge of sexual assault, awareness of available resources, attitudes toward sexual assault, ability to identify sexual assault and to respond appropriately to a disclosure of sexual assault as well as sexual victimization. The data were analyzed using random coefficient analyses, which revealed that the workshop was effective in improving general knowledge regarding sexual assault, awareness of resources in the event of experiencing sexual assault, and attitudes regarding sexual assault. Participation in the program was also shown to enhance youth's ability to recognize sexual assault in a dating context and to diminish hypothetical responses that deny or minimize sexual assault in a dating situation disclosed by a peer. With one exception, these improvements were similar for male and female youth. The results indicate that the workshop was effective and that revision of some aspects of the implementation could further maximize its impact.
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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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".