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Adjustment, Integration, and Quality of Life Among Forensic Patients Receiving Community Outreach Services

2003· article· en· W1990440381 on OpenAlexaffabout
Gary Gerber, Pamela N. Prince, Stephen W. Duffy, Linda McDougall, Janet Cooper, Susan Dowler

Bibliographic record

VenueInternational Journal of Forensic Mental Health · 2003
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsMental Health Research Canada
Fundersnot available
KeywordsOutreachForensic scienceCommunity integrationFeelingPsychologyQuality of life (healthcare)Coping (psychology)Social workPsychiatryMedicineNursingSocial psychology

Abstract

fetched live from OpenAlex

To date, there is little information regarding the adjustment of forensic patients living in Canadian communities. The present study describes the extent of integration and quality of life among fifteen forensic patients on Disposition Orders specifying conditional discharge living in a small Ontario community. All the respondents were clients of the Forensic Outreach Service based at the Brockville Psychiatric Hospital. Measures administered in face-to-face interviews included quality of life, community Integration, self-esteem, coping, ratings of problem behaviors, and a client satisfaction questionnaire. Results suggest a fairly stable picture of life for the respondents. They report feeling a sense of belonging in their community and appear to be satisfied with the quality and frequency of their social contacts, in spite of limited social integration. The Forensic Outreach Service represents an advance toward providing services to forensic patients that are currently available to other persons with psychiatric disabilities living in Canadian communities.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.057
GPT teacher head0.397
Teacher spread0.340 · 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

Citations28
Published2003
Admission routes2
Has abstractyes

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