An Efficient Measure of Sexual Interest in Children: The Revised Screening Scale for Pedophilic Interests (SSPI-2)
Bibliographic record
Abstract
This study examined the convergent, divergent, predictive, and incremental validity of the Revised Screening Scale for Pedophilic Interests (SSPI-2) in a sample of 264 men adjudicated for sexual offenses against at least one child under the age of 15. We found evidence of construct validity as the SSPI-2 had small to medium correlations with phallometric testing ( r = .31), recorded pedohebephilic diagnoses ( r = .52), and attitudes tolerant of sexual offending against children ( r = .23), in addition to small and non-significant correlations with the PCL-R ( r = −.07), VRAG-R ( r = −.09), BARR-2002R ( r = −.06), and conduct disorder ( r = −.07). As indicated by DeLong tests, the SSPI-2 was a better predictor of 5-year sexual ( Z = −2.44) and non-contact sexual recidivism ( Z = −2.46) than the SSPI. The SSPI-2 also added incremental predictive accuracy to risk tools such as the BARR-2002R, PCL-R, VRAG-R, and Static-99R. Overall, our findings suggest that the SSPI-2 is a valid measure of sexual interest in children and may be useful as a screening tool to help inform prioritization and management.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".