The Defence of Belief in Consent: Guidelines and Jury Instructions for Application of Criminal Code Section 265(4)
Bibliographic record
Abstract
The availability of the defence of belief in consent under section 265(4) is a question of law, subject to review on appeal. The statutory provision is based on the common law rule that applies to all defences. Consideration of the defence when it is unavailable in law and failure to consider it when it is available are both incorrect. A judge is most likely to avoid error when ruling on availability of the defence if the ruling: (1) is grounded on sound analysis of the substantive basis for the defence and its relationship to the principles of criminal responsibility; and (2) uses precise legal criteria to govern practical application of section 265(4) to the evidence in specific cases. The guidelines proposed in Part I are based on analyses of the substantive defence and culpable awareness and were developed to ensure that appropriate criteria are properly used when section 265(4) is applied. When a trial judge rules that the defence is available in law, the trier of fact must determine whether the defence is available on the facts as found, based on the evidence in the case. The model jury instructions proposed in Part II are designed to ensure that deliberations by the trier of fact are also guided and shaped by appropriate legal criteria. At both stages, the objective is to ground the deliberation process on fact, not fiction, and to regulate the exculpatory effect of the defence by using legal norms to exclude excuses based on extra-legal considerations such as sexual/racial fantasy, stereotype and myth, or community attitudes and custom.
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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 | 0.109 | 0.201 |
| Meta-epidemiology (narrow) | 0.002 | 0.005 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.046 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 0.014 |
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".