Multiple indicators of sexual interest in prepubescent or pubescent children as predictors of sexual recidivism.
Bibliographic record
Abstract
OBJECTIVE: Sexual interest in children is a well-known risk factor for sexual reoffending (recidivism). The present study examined the relationship between sexual interest in prepubescent children (pedophilia) or pubescent children (hebephilia) and sexual recidivism. It extended previous work by using multiple indicators of sexual interest, using a more sensitive phallometric procedure that measures change in penile blood volume, and examining both hebephilia alongside pedophilia, as well as noncontact sexual recidivism. METHOD: Six hundred fifty-six men who had committed a sexual offense underwent a comprehensive sexological assessment that included multiple sexual interest measures: volumetric phallometry, self-report, and sexual behavior. Criminal record data were acquired to examine recidivism. Offenders were followed for an average of 10 years of opportunity. RESULTS: Indicators of hebephilia and pedophilia were significantly associated with noncontact sexual recidivism, but inconsistently associated with contact recidivism. The relationship with phallometrically assessed pedophilia and contact sexual recidivism was significant after controlling for offender age statistically. Phallometrically assessed sexual arousal to children did not add to risk appraised by an actuarial measure. CONCLUSION: Both hebephilia and pedophilia were predictive of noncontact sexual recidivism. The results for contact sexual recidivism are discussed, including a potential confound in previous work on the assessment of sexual interest in children. (PsycINFO Database Record
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".