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Record W4408098667 · doi:10.60082/2563-8505.1454

Self-Induced Extreme Intoxication: Brown and Section 33.1 of the Criminal Code

2024· article· en· W4408098667 on OpenAlexaboutno aff
Michelle Lawrence

Bibliographic record

VenueSupreme Court law review · 2024
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicForensic Toxicology and Drug Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Criminal codeCode (set theory)CriminologyPsychologyCriminal lawComputer scienceProgramming languageOperating system

Abstract

fetched live from OpenAlex

Parliament enacted section 33.1 of the Criminal Code in 1995, in direct response to the Supreme Court of Canada’s 1994 decision in R. v. Daviault. Through this provision, it set out to remove the reach of the extreme intoxication defence from accused persons charged with personal violence offences, where their intoxication was self-induced. Parliament justified the imposition of criminal responsibility in these cases on the moral blameworthiness of voluntary intoxication, notwithstanding the majority’s ruling in Daviault that doing so offends the Charter. It was not until 2021 — more than 25 years after the enactment of section 33.1 — that the Charter issue came before the Court for hearing. In the much-anticipated case of R. v. Brown, the Court ruled that section 33.1 violates sections 7 and 11(d) and is not saved by section 1. Remarkably, just 25 days after the Brown decision was handed down, Parliament enacted a new section 33.1 in an effort to once again to limit the availability of the extreme intoxication defence. On this occasion, however, Parliament’s efforts were guided — and its ambitions tempered — by the Court’s clear articulation in Brown of minimum Charter requirements. This paper offers a summary of the Brown ruling. It then describes the constituent parts of the new section 33.1 and attempts to construct an analytical framework for the provision’s application in future cases. It concludes with a discussion of legal, evidentiary and practical issues that counsel and courts might soon encounter in those cases where the extreme intoxication defence is advanced, not least of which is concern about the differential treatment of accused persons based on intoxication symptoms.

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)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.500
Threshold uncertainty score0.993

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.010
Scholarly communication0.0100.004
Open science0.0010.004
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.127
GPT teacher head0.409
Teacher spread0.283 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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