Gender Equality, Social Values and Provocation Law in the United States, Canada and Australia
Bibliographic record
Abstract
In this article I examine and compare the partial defense of provocation as it applies to domestic homicide in Australia, Canada, and the United States on both the gendered-male basis of jealous rage and gendered-female basis of fear. I explain why substantive equality, prevalent under Canadian constitutional law, has not resulted in woman-friendly provocation rules in Canada and the United States and why Australia is the leader in incorporating substantive equality into its provocation doctrine. I conclude that the main reason why some Australian jurisdictions have abolished provocation and others have female-friendly versions of the doctrine is that, unlike Canada and the United States, some Australian states do not have mandatory minimum sentencing for either murder or manslaughter. I further conclude that social norms have incorporated substantive equality into application of provocation law in all three countries and that therefore there may not be as great a need to reform the law of provocation as there has been in the past.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".