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Record W2472964877

Delusions of Justice: Results of Qualitative Research on the Management in British Columbia of Cases Involving Allegations of Substance-Induced Psychosis

2015· article· en· W2472964877 on OpenAlexaffabout
Michelle Lawrence, Simon N. Verdun‐Jones

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsSimon Fraser UniversityUniversity of Victoria
Fundersnot available
KeywordsSupreme courtNormativeCriminal justiceEconomic JusticeCriminologyLawPsychologyMental healthPolitical scienceVulnerability (computing)Forensic psychiatryCriminal lawPsychiatryComputer security
DOInot available

Abstract

fetched live from OpenAlex

In R. v. Bouchard-Lebrun, [2011] 3 S.C.R. 575, the Supreme Court of Canada prescribed a legal framework for the application of the defence of not-criminally-responsible-by-reason-of-mental-disorder (“NCRMD”) in the cases involving substance-induced psychosis. In doing so, the Court brought much needed clarification to the law. However, it also opened the door to the difficult question of whether the NCRMD defence should be expanded to capture those cases where the onset of psychotic symptoms is attributable – even in part – to co-occurring mental disorder or neurobiological vulnerability on the part of the accused. Under investigation in this study is the management of such cases in the criminal justice system. Reported herein are the results of interviews conducted with lawyers and forensic psychiatrists in British Columbia. They reveal a considerable risk of unpredictability in outcome for accused persons. This lack of predictability may stem from uncertainties inherent the law, but it is exacerbated by shortcomings in the available evidence, resource constraints within the criminal justice system, and the normative perspectives of those responsible for the management of cases in that system. These results bring to light troubling issues not apparent in the reported case law, including the question of whether forensic psychiatrists are in fact in a position to provide the evidence that the law requires to support a defence of NCRMD, and whether a prevailing lack of confidence in the forensic mental health system would deter legal counsel from recommending that defence, even if that evidence became available to them.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.290
GPT teacher head0.523
Teacher spread0.233 · 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 designQualitative
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

Citations4
Published2015
Admission routes2
Has abstractyes

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