Bibliographic record
Abstract
In the landmark Lavallee decision of 1990, the Supreme Court of Canada ruled that evidence of "battered woman syndrome" was admissible in establishing self-defence for women accused of killing their abusive partners. This book looks at the legal response to battered women who killed their partners in the fifteen years since Lavallee. Elizabeth Sheehy uses trial transcripts and a case study approach to tell the stories of eleven women, ten of whom killed their partners. She looks at the barriers women face to "just leaving," the various ways in which self-defence was argued in these cases, and which form of expert testimony was used to frame women's experience of battering. Drawing upon a rich expanse of research from many disciplines, she highlights the limitations of the law of self-defence and the costs to women undergoing a murder trial. In a final chapter, she proposes numerous reforms. In Canada, a woman is killed every six days by her male partner, and about twelve women per year kill their male partners. By illuminating the cases of eleven women, this book highlights the barriers to leaving violent men and the practical and legal dilemmas that face battered women on trial for murder.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".