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Record W2969430037 · doi:10.1016/j.jsxm.2019.07.015

The Revised Screening Scale for Pedophilic Interests (SSPI-2) May Be a Measure of Pedohebephilia

2019· article· en· W2969430037 on OpenAlexaff
Skye Stephens, Michael C. Seto, James M. Cantor, Martin L. Lalumière

Bibliographic record

VenueThe Journal of Sexual Medicine · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of OttawaRoyal Ottawa Mental Health CentreSaint Mary's University
Fundersnot available
KeywordsPedophiliaPsychologyParaphiliaReferralDevelopmental psychologyClinical psychologyPoison controlInjury preventionSexual behaviorMedicineFamily medicineMedical emergency

Abstract

fetched live from OpenAlex

INTRODUCTION: The Revised Screening Scale for Pedophilic Interests (SSPI-2) was developed as a screening measure for pedophilia (sexual interest in prepubescent children), but the SSPI-2 items reflect offending against both prepubescent and pubescent children, roughly corresponding to victims under age 15. AIM: We examined whether the SSPI-2 is better interpreted as a measure of pedohebephilia (sexual interest in both prepubescent and pubescent children) by reanalyzing the original SSPI-2 data and reporting its new psychometric properties. METHODS: The sample was comprised of 1,900 men whose clinical assessment data were entered into an archival database. All men in the sample had at least 1 child victim. Phallometric indices based on sexual responses to children relative to adults were used to classify individuals as having pedophilia only, hebephilia only (sexual interest in pubescent children), or pedohebephilia. MAIN OUTCOME MEASURE: The 5 SSPI-2 items were scored based on official file information sent by the referral source and self-disclosures about offending history made during the assessment. RESULTS: The phallometric indices revealed that pedohebephilia was most frequently observed (24%), followed by hebephilia only (16%) and pedophilia only (1%). Classification accuracy analyses suggest that the SSPI-2 may be more appropriately interpreted as a measure of pedohebephilia than hebephilia only; there were too few cases of pedophilia only for classification analysis. Sensitivity, specificity, and positive and negative predictive values are presented to assist users in selecting appropriate SSPI-2 cut-offs. CLINICAL IMPLICATIONS: The SSPI-2 should be interpreted as a measure of pedohebephilia when used in clinical practice or research, and test users should select the most appropriate cut-off score based on their assessment context. Classification accuracy results are modest, and the scale may be most appropriately used in research or as a screening measure. STRENGTHS & LIMITATIONS: The study used a comprehensive clinical database with well-validated measures. A limitation is that the dataset did not contain other assessment measures of sexual interest in children, and we were unable to examine if the SSPI-2 could detect pedophilia only due to its low base rate. CONCLUSION: The SSPI-2 may be best conceptualized as a measure of pedohebephilia. Further, there was significant overlap between pedophilia and hebephilia; pedophilia only was rarely observed. Stephens S, Seto MC, Cantor JM, et al. The Revised Screening Scale for Pedophilic Interests (SSPI-2) May Be a Measure of Pedohebephilia. J Sex Med 2019;16:1655-1663.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.058
GPT teacher head0.359
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2019
Admission routes1
Has abstractyes

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