Replication of the Massachusetts Treatment Center Child Molester Typology in a Canadian Sample
Bibliographic record
Abstract
Development of a comprehensive typology for the classification of sexual offenders has important implications for both risk prediction and treatment. To date, the most comprehensive typological system has been developed by Knight and Prentky (1990). These authors have developed typologies for both child molesters and rapists. The system for rapists has been replicated on at least two samples (Barbaree, Seto, Serin, Amos, & Preston, 1994; Brown & Forth, 1997); however, the child molester typology has yet to be fully replicated outside the MTC. In the present study, 109 child molesters who were assessed or treated at the Regional Treatment Centre (Ontario) were classified according to the MTC child molester typology. Interrater reliabilities were obtained for 20 participants and ranged from .90 to .40, which are comparable to those obtained in the MTC sample. Groups were compared on a number of meaningful variables, such as number of victims and sexual deviance.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".