Classification of Child Molesters by Plethysmographic Assessment of Sexual Arousal and a Self-Report Measure of Sexual Preference
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present study examined the extent to which the use of multiple measures of pedophilic interest improved on the diagnostic accuracy of any single measure. Seventy-two child molesters completed a self-report card-sort measure of sexual interest, as well as direct monitoring of penile response (penile plethysmograph-PPG) when presented with erotic slides or audio material. The reliability of all measures was high (alpha .91-.96). All three measures of pedophilic interest (i.e., card sort, PPG slides, PPG audio) significantly differentiated boy-object (n = 20) and girl-object child molesters (n = 52). The card-sort measure showed the greatest classification accuracy and was the only measure to significantly improve accuracy, once the other two modalities were considered. Consideration of all three modalities provided classification accuracy (91.7%) greater than any single measure.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it