Jake and Josie Get Drunk and Hook Up: An Exploration of Mutual Intoxication and Sexual Assault
Bibliographic record
Abstract
In R. v. Daviault, the Supreme Court of Canada recognized a defence of extreme intoxication to general intent offences, including sexual assault. In the aftermath of Daviault, Parliament swiftly enacted section 33.1 of the Criminal Code. While the lower courts are divided on the constitutionality of section 33.1, its operation precludes a defence of extreme intoxication for some general intent offences. Thus, intoxication can prevent the complainant from giving valid consent, but cannot prevent the accused from forming the necessary intent. How should criminal liability be determined where two individuals become voluntarily intoxicated to the point of incapacity and engage in sex? In theory, the criminal law is committed to the protection of the bodily integrity of all individuals and to the punishment of only the morally blameworthy. However, this article argues that the law’s treatment of mutual voluntary intoxication violates these core principles of our justice system.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".