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Record W2052641378 · doi:10.1080/14999013.2014.885472

Transitioning into the Community: Outcomes of a Pilot Housing Program for Forensic Patients

2014· article· en· W2052641378 on OpenAlexaffabout
Rebecca Cherner, Tim Aubry, John Ecker, Nick Kerman, Joan Nandlal

Bibliographic record

VenueInternational Journal of Forensic Mental Health · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Ottawa
Fundersnot available
KeywordsRehabilitationPilot programAssertive community treatmentPsychologySupportive housingCommunity serviceMedicinePsychiatryNursingMental illnessMedical educationMental healthPublic relationsPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

The Transitional Rehabilitation Housing Pilot (TRHP) was designed to transition hospitalized forensic patients to the community. Twenty clients and their clinicians in two Ontario cities completed measures on functioning, substance use, recovery, social support, and quality of life at admission to the program and then every 6 months until 18 months post-admission. Clients also responded to open-ended questions on the impact of the program and living in the community on their recovery. Three (15%) clients re-offended. Eleven clients (55%) experienced rehospitalization; however, brief rehospitalization was seen as part of the recovery process. Level of community functioning was stable across time and 35% of clients had a decrease in the restrictiveness of their disposition order. Clients described numerous characteristics of community living that contributed to improvements in functioning, such as integration into the community, social contact, and newfound independence. Some aspects of TRHP that encouraged recovery included developing new skills and knowledge, staff support, and the programming that engaged clients in treatment and recovery-oriented activities. Findings suggest that forensic patients can transition successfully into the community with appropriate support and housing.

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)0.002
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 score0.639
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.062
GPT teacher head0.450
Teacher spread0.387 · 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 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

Citations13
Published2014
Admission routes2
Has abstractyes

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