Convergent and Predictive Associations of Three Measures of Pedophilic Interest
Bibliographic record
Abstract
Pedophilic interest is a central risk factor for sexual offending against children. Multiple measures exist to assess pedophilic interest, and the present study aims to provide validity evidence for three of these measures in a sample of men convicted of sexual offenses. The association between a phallometric test for pedophilic interest, the Screening Scale for Pedophilic Interest (SSPI), and the sexual deviance factor of the Violence Risk Scale-Sexual Offense (VRS-SO) version was examined in a sample of 261 men who participated in sexual violence reduction services. The association between these measures and sexual recidivism, both as sole predictors and while controlling for static risk, was also assessed. The second aim of the study was to examine the validity of different methods for modeling the distribution of pedophilic interests, using phallometric test scores, based on the findings in recent taxometric research. The measures generally showed a positive and moderate relationship with each other and predicted sexual recidivism. However, the SSPI did not significantly predict sexual recidivism, and when controlling for static risk, only the VRS-SO Sexual Deviance factor significantly predicted this outcome. Modeling phallometric test scores continuously and trichotomously produced significant associations with sexual recidivism; however, only a trichotomous model with two levels remained predictive after controlling for static risk. The results are broadly supportive of measures of pedophilic interest and underscore the importance of appropriately modeling the latent structure of pedophilic interest.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".