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Record W2344391218

The intoxication defence: toward a better understanding of current doctrine and reform

2015· article· en· W2344391218 on OpenAlexaboutno aff
Kenneth J. Arenson

Bibliographic record

VenueDeakin Research Online (Deakin University) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStatutory lawDoctrineLawLegislatureLiabilityPolitical scienceCriticismMens reaCommon lawVolition (linguistics)Legislative historyCriminal lawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

\n\t\t\t\t\tThis article deals with the contentious issue of the extent to which an intoxicated person, particularly one who has become inebriated of his or her own volition, should be permitted to escape liability on the basis that the degree of inebriation was sufficient to preclude the fact-finder from finding a volitional act or omission on the part of the accused and/or that he or she acted with the required mens rea, if any, as defined by the common law or statutory definition of the offence. In addressing this issue, the article embarks upon a thorough analysis of the House of Lords seminal decision in Director of Public Prosecutions v Majewski (1977) AC 443 which, despite some very harsh criticism of late, continues to be the leading authority on the question in the United Kingdom, United States and Australia. As part of this analysis, the article examines and ultimately attempts to resolve the longstanding controversy over what has proved to be the elusive distinction between crimes of basic or general intent and those of specific intent. The article concludes by rejecting the Majewski principles in favour of those enunciated by the High Court of Australia in R v O'Connor (1980) 146 CLR 64; 54 ALJR. In reaching this conclusion, the article notes various legislative and academic proposals for reform as well as statutory reforms in the United Kingdom, United States, Canada and Australia.\n\t\t\t\t

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.307
GPT teacher head0.440
Teacher spread0.132 · 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 designTheoretical or conceptual
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 routes1
Has abstractyes

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