The intoxication defence: toward a better understanding of current doctrine and reform
Bibliographic record
Abstract
This 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.008 | 0.088 |
| Scholarly communication | 0.019 | 0.031 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.016 | 0.026 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".