Sexual assault and coincident alcohol use in attendees at a genitourinary medicine clinic in the south of England
Bibliographic record
Abstract
To investigate the relationship between alcohol consumption and the experience of sexual assault, either as victim or perpetrator, among genitourinary (GU) medicine department attendees in Portsmouth, UK, we carried out a cross-sectional survey of consecutive patients attending the walk-in service when a researcher was available. Self-completed questionnaires were used and anonymized data were collected from 1186 participants (response rate 34%). Responses showed that 15.6% of female and 3.7% of male participants had ever being sexually assaulted. Women who reported sexual assault drank more on a heavy night out than those who did not report sexual assault (mean 21.3 versus 17.0 units, P = 0.041). Over half of the victims had been drinking prior to the relevant assault. Twenty-seven participants (2.3%) admitted to having sex with a person who was not fully willing. Of these, 59% had been drinking prior to the assault, and the majority believed alcohol had contributed to the assault. Any strategies aiming to reduce the incidence of sexual assault must address hazardous drinking as a high priority.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".