Multiple perpetrator rape among girls evaluated at a hospital-based Child Advocacy Center: Seven years of reviewed cases
Bibliographic record
Abstract
The aim of this study was to describe contextual events, abuse experiences, and disclosure processes of adolescents who presented to a hospital-based Child Advocacy Center for medical evaluation and evidentiary collection as indicated after experiencing multiple perpetrator rape during a single event (n=32) and to compare these findings to a group of single perpetrator sexual assaults (n=534). This study used a retrospective mixed-methods design with in-depth, forensic interviews and complete physical examinations of gang-raped adolescents. Patients ranged from 12 to 17 years (M=14 years). Girls who experienced multiple perpetrator rape during a single event were more likely to have run away, to have drunk alcohol in the past month, and to have participated in binge drinking in the past 2 weeks. Acute presentation of these victims were rare but 30% had hymenal transections and 38% had sexually transmitted infections (STIs). Forensic interviews revealed alcohol was a common weapon used by offenders, and its use resulted in victims experiencing difficulty in remembering and reporting details for police investigation or physical and mental health care. Most victims were raped at parties they attended with people they thought they could trust, and they felt let down by witnesses who could have helped but did not intervene. Although relatively rare, multiple perpetrator rape during a single event is a type of severe sexual assault experience and has significant risks for deleterious health outcomes. These victims require health care by trained providers to diagnose physical findings, treat STIs, screen for trauma, and support victims.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".