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Record W4401193508 · doi:10.1177/10790632241268502

Validation of the Revised Screening Scale for Pedophilic Interests (SSPI-2) in Portugal

2024· article· en· W4401193508 on OpenAlexaff
Claúdia Gouveia, Marta Sousa, Olga Cunha, Michael C. Seto, Andreia de Castro Rodrigues, Rui Abrunhosa Gonçalves

Bibliographic record

VenueSexual Abuse · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsRoyal Ottawa Mental Health Centre
FundersFundação para a Ciência e a TecnologiaUniversidade do Minho
KeywordsPedophiliaPsychologyPrisonConvergent validitySexual arousalDevelopmental psychologyClinical psychologyPoison controlInjury preventionPsychometricsSexual behaviorMedicineCriminologyMedical emergency

Abstract

fetched live from OpenAlex

The accurate assessment of pedophilic sexual interests is crucial for the treatment and management of individuals who have sexually offended children. This study aimed to validate the Revised Screening Scale for Pedophilic Interests (SSPI-2) in a Portuguese sample of 170 men convicted of sexual offenses against children, 104 serving sentences in the community, and 66 in prison. The findings indicated that SSPI-2 demonstrated good convergent validity, as evidenced by its significant and positive associations with the "sexual deviance" item of SVR-20, the number of previous convictions for sexual crimes against children, and having 3 or more child victims, which is associated with high sensitivity and specificity in distinguishing men who show greater sexual arousal to children than to adults. Furthermore, the SSPI-2 exhibited good divergent validity, with no significant correlations observed with a self-report measure of psychopathy or with a nonsexual criminal history.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.344
Teacher spread0.303 · 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 teacher head, 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

Citations3
Published2024
Admission routes1
Has abstractyes

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