Men who molest their sexually immature daughters: is a special explanation required?
Bibliographic record
Abstract
Child molesters who target their own children have been described as low risk and not pedophilic. Men who had molested a daughter or stepdaughter (n = 82) were compared to 102 molesters whose only female victims were extrafamilial. Men who offended against their own daughters had less deviant sexual age preferences and were less likely to commit new violent and sexual offenses. However, the father-daughter molesters exhibited an average absolute phallometric preference for prepubertal children and had a violent recidivism rate of 22% in a follow-up of less than 5 years. Actuarial risk assessment instruments (the Violence Risk Appraisal Guide and the Sex Offender Risk Appraisal Guide; V. L. Quinsey, G. T. Harris, M. E. Rice, and C. A. Cormier, 1998) worked as well for intrafamilial child molesters as for other sex offenders.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".