The Proportion of Sexual Offenders Who Are Female Is Higher Than Thought
Bibliographic record
Abstract
Women commit sexual offenses, but the proportion of sexual offenders who are female is subject to debates. Based on 17 samples from 12 countries, the current meta-analysis found that a small proportion of sexual offenses reported to police are committed by females (fixed-effect meta-analytical average = 2.2%). In contrast, victimization surveys indicated prevalence rates of female sexual offenders that were six times higher than official data (fixed-effect meta-analytical average = 11.6%). Female sexual offenders are more common among juvenile offenders than adult offenders, with approximately 2 percentage points more female juvenile sex offenders than female adult sex offenders. We also found that males were much more likely to self-report being victimized by female sex offenders compared with females (40% vs. 4%). The current study provides a robust estimate of the prevalence of female sexual offending, using a large sample of sexual offenses across diverse countries.
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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 | 0.011 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.007 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".