Factors associated with suspected drug-facilitated sexual assault
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: There has been little systematic investigation of widespread reports of drugging and sexual assault. We sought to determine the prevalence of and factors associated with suspected drug-facilitated sexual assault. METHODS: Between June 2005 and March 2007, a total of 977 consecutive sexual assault victims underwent screening for suspected drugging at 7 hospital-based sexual assault treatment centres. We defined victims of drug-facilitated sexual assault as those who presented to a centre within about 72 hours of being assaulted and who provided at least 1 valid reason for suspecting that she or he had been drugged and sexually assaulted. We used logistic regression modelling to compare victims of suspected drug-facilitated sexual assault with other sexual assault victims, controlling for covariates. RESULTS: In total, 882 victims were eligible for inclusion in the study. Of these, 855 (96.9%) were women, and 184 (20.9%) met the criteria for suspected drug-facilitated sexual assault. Compared with other victims, victims of drug-facilitated sexual assault were more likely to have presented to a large urban centre for care (odds ratio [OR] 2.31, 95% confidence interval [CI] 1.47-3.65), to be employed (OR 1.92, 95% CI 1.34-2.76), to have consumed over-the-counter medications (OR 3.97, 95% CI 2.47-6.38) and street drugs (OR 1.71, 95% CI 1.12-2.62) in the 72 hours before being examined and to have used alcohol before the assault (OR 4.00, 95% CI 2.53-6.32). INTERPRETATION: Suspected drug-facilitated sexual assault is a common problem. Sexual assault services should be tailored to meet the needs of those experiencing this type of victimization.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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