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Record W2012510737 · doi:10.1177/0886260508317196

Outcome Evaluation of a High-Intensity Inpatient Sex Offender Treatment Program

2008· article· en· W2012510737 on OpenAlex
Mark E. Olver, Stephen C. P. Wong, Terry P. Nicholaichuk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Interpersonal Violence · 2008
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRecidivismSex offenderConfoundingProportional hazards modelPsychologyPoison controlInjury preventionSuicide preventionMedicineHuman factors and ergonomicsSex offenseClinical psychologyDemographyPsychiatrySexual abuseMedical emergencyInternal medicine

Abstract

fetched live from OpenAlex

The treatment outcome of a high-intensity inpatient sex offender treatment program was evaluated by comparing the sexual recidivism rates of 472 treated and 282 untreated sex offenders. The program is designed for moderate- to high-risk sex offenders and follows the principles of effective correctional treatment. The current investigation is an extension of an earlier study (Nicholaichuk et al., 2000) with the addition of 176 participants, an extra 4 years follow-up, and the use of Cox regression survival analysis to control for three potentially confounding variables: age of release, sexual offending history, and length of follow-up. Treated offenders sexually recidivated significantly less than the comparison group over nearly 20 years of follow-up, even after controlling for the aforementioned variables. The substantive findings suggest that treatment adhering to the what works principles can reduce long-term sexual recidivism for a moderate- to high-risk group of sex offenders.

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.

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 score0.510
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.117
GPT teacher head0.390
Teacher spread0.273 · 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