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Record W2110319753 · doi:10.1177/107906320201400207

First Report of the Collaborative Outcome Data Project on the Effectiveness of Psychological Treatment for Sex Offenders

2002· review· en· W2110319753 on OpenAlexaff
R. Karl Hanson, Arthur Gordon, A. I. Harris, Janice K. Marques, William G. Murphy, Vernon L. Quinsey, Michael C. Seto

Bibliographic record

VenueSexual Abuse · 2002
Typereview
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsCentre for Addiction and Mental HealthQueen's UniversityGovernment of Canada
Fundersnot available
KeywordsRecidivismPsychologySex offenderClinical psychologyOutcome (game theory)Sex offenseMeta-analysisPsychiatryHuman factors and ergonomicsMedicinePoison controlSexual abuseInternal medicineMedical emergency

Abstract

fetched live from OpenAlex

This meta-analytic review examined the effectiveness of psychological treatment for sex offenders by summarizing data from 43 studies (combined n = 9,454). Averaged across all studies, the sexual offence recidivism rate was lower for the treatment groups (12.3%) than the comparison groups (16.8%, 38 studies, unweighted average). A similar pattern was found for general recidivism, although the overall rates were predictably higher (treatment 27.9%, comparison 39.2%, 30 studies). Current treatments (cognitive-behavioral, k = 13; systemic, k = 2) were associated with reductions in both sexual recidivism (from 17.4 to 9.9%) and general recidivism (from 51 to 32%). Older forms of treatment (operating prior to 1980) appeared to have little effect. Future directions for improving the quality of sex offender treatment outcome evaluations 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 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)0.039
metaresearch head score (Gemma)0.122
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.122
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.013
Bibliometrics0.0150.009
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.335
GPT teacher head0.472
Teacher spread0.137 · 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.

Study designSystematic review
DomainEvaluation
GenreReview

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

Citations871
Published2002
Admission routes1
Has abstractyes

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