The Use of Phallometric Testing in the Diagnosis, Treatment, and Risk Management of Male Adults Who Have Sexually Offended
Bibliographic record
Abstract
Abstract Phallometric evaluation of persons who have sexually offended has a complicated history. Also known as the penile plethysmograph (or PPG), the technology was refined and adapted to forensic use by Kurt Freund in the 1950s and has been employed in sexual psychodiagnostics and forensic sexological research for more than 50 years. At present, it is perhaps the only objective measure of differential sexual arousal available to researchers and practitioners concerned with paraphilic interests and preferences. However, although the method has been the subject of many peer‐reviewed investigations, questions remain regarding its reliability and validity as a component of comprehensive risk appraisal and risk management with this client population. Some practitioners regard the PPG as a crucial part of the evaluative process with sexual offenders, whereas others have expressed concerns in a variety of domains, including psychometric defensibility, relative utility in different contexts (assessment versus treatment outcome), and, interestingly, morality.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".