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Record W2467264596

Blurred Lines of Intoxication and Insanity: An Examination of the Treatment at Law of Accused Persons Found to Have Committed Criminal Acts While in States of Substance-Associated Psychosis, Where Intoxication Was Voluntary

2015· article· en· W2467264596 on OpenAlexaffabout
Michelle Lawrence, Simon N. Verdun‐Jones

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsSimon Fraser UniversityUniversity of Victoria
Fundersnot available
KeywordsInsanityPsychologyCriminal lawLawMens reaPsychiatryInsanity defenseCriminologyNormativePolitical science
DOInot available

Abstract

fetched live from OpenAlex

R. v. Bouchard-Lebrun is a landmark case. In it, the Supreme Court of Canada brings an end to decades-old debate on the question of whether an accused person is exempt from criminal liability for acts committed in a state of substance-induced psychosis. The court ruled that individuals in these circumstances do not qualify for the defence of not-criminally-responsible-by-reason-of-mental-disorder if the psychosis resulted exclusively from voluntary substance use. However, the court left unanswered the difficult question of whether accused persons with co-occurrence and contributing substance use and mental disorder (or some other form of neurobiological vulnerability) are subject to criminal liability to the same extent. Included in this article is an overview of the psychiatric literature on substance-associated psychosis and an examination of the law governing the attribution of criminal responsibility in such cases, with particular consideration given to the defences of NCRMD and intoxication. What emerges is the view that, notwithstanding the clarification offered by the Court in R. v. Bouchard-Lebrun, considerable uncertainty remains in the law itself, and in relation to the quality of the medical evidence on which assessments of criminal liability must now be made. It appears that this is especially so in cases of co-occurring and co-contributing substance use and mental disorder, where the evidentiary lines between intoxication and insanity are blurred and the moral blameworthiness of an accused incapable of clear definition.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.946

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 head0.052
GPT teacher head0.289
Teacher spread0.237 · 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 designBench or experimental
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

Citations1
Published2015
Admission routes2
Has abstractyes

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