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Record W2146136040 · doi:10.1177/1079063213495896

The Self-Regulation Model of Sexual Offending

2013· article· en· W2146136040 on OpenAlexaffabout
Drew A. Kingston, Pamela M. Yates, Mark E. Olver

Bibliographic record

VenueSexual Abuse · 2013
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of SaskatchewanRoyal Ottawa Mental Health CentreUniversity of Ottawa
Fundersnot available
KeywordsRecidivismPsychologyClinical psychologySex offenderRehabilitationPsychiatry

Abstract

fetched live from OpenAlex

The self-regulation model (SRM) is a nine-phase, four-pathway offense process model designed specifically for sexual offenders that is now being applied to the treatment of this group in many settings and jurisdictions. In the present prospective study, we evaluated the validity and utility of the SRM in a sample of 275 adult male sexual offenders treated within the Correctional Service of Canada. Results indicated that participation in treatment resulted in moderate to large sized improvements from pretreatment to posttreatment on a dynamic risk assessment measure and several self-reported treatment targets. These changes were, in some cases, differentially associated with self-regulation pathways, suggesting that offense pathway is a clinically relevant variable when evaluating treatment change and in conceptualizing sexual offender treatment. In terms of outcome, individuals following the approach pathways, particularly the approach-automatic pathway, demonstrated higher failure rates than individuals following avoidant pathways. However, many of these differences were less pronounced when taking risk for recidivism into account. Implications of these findings for the effective assessment and rehabilitation of sexual offenders are discussed.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.030
GPT teacher head0.285
Teacher spread0.255 · 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.

Study designNot applicable
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

Citations28
Published2013
Admission routes2
Has abstractyes

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