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Record W2043763219 · doi:10.1037/law0000031

Probationers mandated to receive forensic mental health services in Canada: Risks/needs, service delivery, and intermediate outcomes.

2015· article· en· W2043763219 on OpenAlexaffabout
James Livingston, Karen Chu, Teresa Milne, Johann Brink

Bibliographic record

VenuePsychology Public Policy and Law · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsBC Mental Health & Substance Use ServicesSaint Mary's University
Fundersnot available
KeywordsMental healthService delivery frameworkService (business)Forensic scienceBusinessEnvironmental healthPsychologyMedicinePsychiatryMarketing

Abstract

fetched live from OpenAlex

Probation orders mandating forensic mental health services are used by the courts to deal with the complex needs of probationers with mental disorders, but little is known about this particular legal leverage. The main goals of this study were to describe probationers who were mandated to receive forensic services, and to examine the relationships between measures of risks and needs, service delivery, and intermediate outcomes. To achieve this, we conducted a retrospective review of health records of 250 probationers with mental disorders using several standardized measures to assess criminogenic and psychosocial needs. The study also tracked outcomes and service utilization for an average of 9 months while probationers were receiving forensic services. A framework that integrates criminogenic and mental health needs to guide service delivery (Prins & Draper, 2009) was used as a theoretical backdrop. The probationer sample represented a heterogeneous group with a diverse range of criminogenic, clinical, and social needs. Their level of risk, service need, and clinical problems did not strongly determine the intensity of forensic services. Noncompliant probationers, representing almost half of the sample, had greater odds of psychiatric adverse events, criminal justice contacts, and violent behavior. This study represents one of the first to examine theoretical and pragmatic issues pertaining to the provision of forensic mental health services to probationers. Language: en

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.055
GPT teacher head0.356
Teacher spread0.301 · 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.

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

Citations5
Published2015
Admission routes2
Has abstractyes

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