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Record W2103492846 · doi:10.1177/0306624x07313985

Evaluation of the Persistently Violent Offender Treatment Program

2008· article· en· W2103492846 on OpenAlexaffabout
Ralph C. Serin, Renée Gobeil, Denise L. Preston

Bibliographic record

VenueInternational Journal of Offender Therapy and Comparative Criminology · 2008
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsMinistry of Community Safety and Correctional ServicesCarleton University
Fundersnot available
KeywordsAnger managementPsychologyPsychological interventionAngerViolent crimeProgram evaluationSuicide preventionClinical psychologyPoison controlInjury preventionPsychiatryMedicineCriminologyMedical emergencyPolitical science

Abstract

fetched live from OpenAlex

The treatment of violent offenders has evolved in recent years, shifting from interventions focused on anger management to those incorporating social information processing skills. The present study was a multimethod evaluation of one such program, the Persistently Violent Offender program. A total of 256 Canadian male violent offenders participated in the study; 70 Persistently Violent Offender program completers were compared to two control groups (n(1) = 33, n(2) = 105) who completed an alternate program and to 48 offenders who failed to complete either program. Results demonstrate few differences among groups in terms of changes on measures of treatment targets, involvement in institutional misconducts, and postrelease returns to custody, thus demonstrating that the Persistently Violent Offender program was superior to neither the alternate program nor program noncompletion. These results are discussed in light of the findings from two more promising recent evaluations of similar programs.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.580
GPT teacher head0.438
Teacher spread0.141 · 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

Citations52
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Offender Therapy and Comparative CriminologySame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207