Prevalence of Adult Female Genital Trauma After Acute Sexual Assault
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
BACKGROUND: Examination of the adult female genitalia after an acute sexual assault may reveal findings interpreted by the examiner as injuries, which may be linked to later legal outcomes. There is no consistent definition in the literature regarding what findings constitute genital trauma after sexual assault. We studied how the prevalence of genital trauma is impacted by the inclusion/exclusion of various genital findings reported in the literature. METHODS: A retrospective descriptive chart review of the sexual assault forensic records from a provincial regional sexual assault treatment center was conducted over a 4-year period and included 67 female patients, 12 years old and over, who reported being sexually assaulted in the previous 72 hours and received a complete forensic examination. We studied the prevalence of genital trauma, using eight definitions of trauma, as well as the percentage of each type of genital finding within this population. RESULTS: The prevalence of genital trauma in this population ranged from 52%, the majority, to 31% of women, depending on the definition of trauma utilized. Forty-one percent of the findings, the greatest number overall, were redness. Bruises, abrasions, and tears (lacerations), the components of blunt force trauma, accounted for 4%, 15%, and 14% of the findings, respectively. INTERPRETATION: A universal definition of what findings constitute genital trauma after acute sexual assault is required if the examiner, as expert witness, is to compare findings in a given case with the broader literature and assist the court in ensuring an informed process of decision making.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 it