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Record W1830311556 · doi:10.1002/bsl.2133

Dynamic and Static Factors Associated with Discharge Dispositions: The National Trajectory Project of Individuals Found Not Criminally Responsible on Account of Mental Disorder (NCRMD) in Canada

2014· article· en· W1830311556 on OpenAlexafffundabout
Anne G. Crocker, Tonia L. Nicholls, Yanick Charette, Michael C. Seto

Bibliographic record

VenueBehavioral Sciences & the Law · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of OttawaUniversité de MontréalBC Mental Health & Substance Use ServicesMcGill UniversityDouglas Mental Health University Institute
FundersMental Health CommissionCommission de la santé mentale du Canada
KeywordsLegislationPsychologyDispositionPolitical scienceCriminologySocial psychologyLaw

Abstract

fetched live from OpenAlex

The majority of individuals found not criminally responsible on account of mental disorder (NCRMD) in Canada spend some time in hospital before they are conditionally or absolutely (no conditions) discharged to the community by a legally mandated review board. By law, the decision to conditionally discharge an individual found NCRMD should be guided by the need to protect the public, the mental condition of the accused, and the other needs of the accused, especially regarding his/her community reintegration. At the time of this study, Canadian legislation and case law required that the review board disposition should be the "least onerous and least restrictive" possible for the accused. This means that, if there is no evidence that the person poses a significant risk to public safety, he/she must be released. However, the Canadian Criminal Code does not specify the criteria that must be considered when making this risk assessment. This leads to two questions. (1) What predicts review board dispositions? (2) To what extent do disposition determinations reflect evidence-based practices? The present study examined dynamic and static predictors of detention in custody, conditional discharge (CD), and absolute discharge (AD) dispositions among persons found NCRMD across the three largest provinces in Canada. The National Trajectory Project (NTP) examined men and women found NCRMD in British Columbia (BC), Québec (QC), and Ontario (ON) between May 2000 and April 2005, followed until December 2008. For the purposes of this study, individuals who had at least one hearing with a review board were extracted from the NTP dataset (N = 1794: QC = 1089, ON = 483, BC = 222). Over the course of the study, 6743 review board hearings were examined (QC = 3505, ON = 2185, BC = 1053). Despite advances in the risk assessment field, presentation of a comprehensive structured risk assessment to the review board was not the norm. Yet our findings suggest that review boards were taking into account a combination of empirically validated static and dynamic risk factors, as represented by the items of the HCR-20 risk assessment scheme. Particular attention was being paid to the behavior of the patient between hearings (e.g., violent acts, compliance with conditions). Severity of index offense was associated with review board decisions; though index severity is not related to recidivism, it is an important consideration in terms of public perceptions of the justice system and can be related to better established risk factors (i.e., criminal history and prior violence). Historical factors had more influence on the decision to detain someone, while clinical factors were more influential on an AD decision. Disposition stability was the most common trajectory, meaning that a patient with a prior CD disposition was most likely to receive another CD disposition at the next hearing. Static and dynamic risk factors found in the HCR-20 influenced review board determinations, although presentation of a complete structured risk assessment is the exception, not the norm. Results suggest that clinicians recommending less restrictive dispositions are more likely to include a comprehensive risk assessment with their recommendation. An alternative explanation is that, when there is no comprehensive assessment of risk, the review board tends to be more cautious and apply more restrictive dispositions. The practice seems to be contrary to the legislation at the time of the study, given that there should be a presumption that the patient is not a significant threat.

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 score0.486
Threshold uncertainty score0.735

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 studies0.0000.001
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 head0.078
GPT teacher head0.360
Teacher spread0.282 · 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

Citations54
Published2014
Admission routes3
Has abstractyes

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