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The Development of a Canadian Prison Based Program for Offenders with Mental Illnesses

2003· article· en· W2073658598 on OpenAlexaffabout
Andrew Welsh, James R. P. Ogloff

Bibliographic record

VenueInternational Journal of Forensic Mental Health · 2003
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPrisonMental healthMental illnessCriminal justicePsychiatryPsychologyPopulationPrison populationCase managementCriminologyMedicineEnvironmental health

Abstract

fetched live from OpenAlex

A relatively large number of individuals entering the criminal justice system have a mental illness. Perhaps as many as 6% to 15% of inmates in North America have a serious mental illness, exceeding the rate found in the general population (Hodgins & Cote, 1990; Ogloff, Roesch, & Hart, 1994; Teplin, 1990). To increase the range of services available to MDOs, a number of initiatives have been undertaken in British Columbia, including the development of a prison-based mental health program. The Program has been designed for provincial offenders with a major mental illness to be conducted across a five-month (20-week) period, emphasizing the treatment and management of the offender's illness as well as the interruption of the offender's crime cycle. Currently still under development, the Program has adopted a graduated or multi-tiered approach to treatment with program content presented to participants across three distinct phases: (1) the comprehensive psychodiagnostic phase, (2) the intensive treatment phase, and (3) the community re-integration preparation phase. The purpose of this paper was to describe the Mental Health Program and to highlight important research upon which the program model was predicated.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.037
GPT teacher head0.355
Teacher spread0.317 · 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 designOther design
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

Citations10
Published2003
Admission routes2
Has abstractyes

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