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Record W3123157720

From Defect to Dangerous: Has the Door Opened for Recognition of an Addiction-based Defence in Canadian Criminal Law?

2018· article· en· W3123157720 on OpenAlexaffabout
Michelle Lawrence

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2018
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsConceptualizationCriminal lawVolition (linguistics)AddictionPsychologyCriminologyLawSupreme courtPreventive detentionPolitical sciencePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

En ce qui concerne l’examen de la responsabilité, le droit criminel canadien utilise un concept simpliste de la dépendance. Il présume que l’utilisation continue de drogues ou d’alcool par un toxicomane est volontaire et délibérée, sans tenir compte de l’impact potentiel de vulnérabilités neurobiologiques ou de troubles mentaux concomitants qui influencent la volonté et la maîtrise de soi. Par conséquent, il n’est pas surprenant que la responsabilité criminelle ne comprenne pas d’accommodement pour les réalités cliniques de personnes accusées qui se trouvent dans cette situation. De manière significative, en 2011, dans sa décision dans l’affaire Rc. Bouchard-Lebrun, la Coursuprême du Canada a signalé la volonté de changer cette approche. Elle a suggéré que, si un accusé risquait d’être dangereux à cause de sa dépendance, une défense de non-responsabilité criminelle pour cause de troubles mentaux pourrait être utilisée (« NRCCTM »). L’accusé pourrait ensuite être transféré du système correctionnel au système de psychiatrie médico-légale. Il est sans doute évident qu’un traitement dans un emplacement de soins de santé serait bénéfique à une personne cherchant à s’affranchir de sa dépendance. De plus, dans la mesure où l’usage de substances et la criminalité sont reliés, la sécuritédu public serait sûrement améliorée par la supervision d’anciens toxicomanes en vertu de la partie XX.1 du Code criminel. Il faut tout de même faire attention. Cela deviendrait inquiétant si la défense de NRCCTM venait à être utilisée – peut-être involontairement – comme alternative à la détention préventive des populations dépendantes. Abstract: For purposes of liability assessment, Canadian criminal law proceeds on a simplistic conceptualization of addiction. It presumes that the continued use of drugs or alcohol on the part of an addict is willed and deliberate, without regard to the potential impact of neurobiological vulnerabilities or concomitant mental disorders that impair volition and self-control. Not surprisingly, as a result, there is no accommodation within the law of criminal responsibility for the clinical realities of accused persons with these conditions. Significantly, in its 2011 decision in R v Bouchard-Lebrun, the Supreme Court of Canada signalled a willingness to vary this approach. It suggested that, if there were a risk of future dangerousness on the part of the accused by reason of addiction, resort might be had to the defence of not-criminally-responsible-by-reason-of-mental-disorder (“NCRMD”), and the accused might then be diverted from the correctional system to the forensic psychiatric system. It is perhaps obvious that a treatment-oriented response in a health care setting would benefit individuals seeking to overcome addiction. Moreover, to the extent that substance use and criminality are linked, public safety surely would be enhanced through the supervision of recovering addicts under the terms of Part XX.1 of the Criminal Code. Care must nonetheless be taken. It would be a matter of serious concern if the defence of NCRMD came to be used – unwittingly perhaps – as an alternative pathway for the preventive detention of addict populations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.196
Threshold uncertainty score0.933

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0270.021
Scholarly communication0.0130.008
Open science0.0050.006
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0140.001

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 head0.070
GPT teacher head0.323
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes2
Has abstractyes

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Same venueProject Muse (Johns Hopkins University)Same topicHealthcare Decision-Making and RestraintsFrench-language works237,207