Violence Erased: The Supreme Court of Canada on the Family Lawyer’s Role
Bibliographic record
Abstract
The Supreme Court of Canada has heard several family law cases involving intimate partner violence (“IPV”) in which they erased the abuse. Pettkus v Becker, [1980] 2 SCR 834 is perhaps the most well-known family law example of the tragic consequences of ignoring a survivor’s experience. Less well-known, are the cases developing the law governing domestic contracts. Beyond the obvious trauma inflicted on survivors whose cases are heard but whose experiences are ignored, is the question of what the implications are for the soundness of the law generated by ignoring IPV. One of the issues discussed in these domestic contract cases is the family lawyer’s role during negotiations, and whether the presence of lawyers can equalize power imbalances. My primary aim in this post is to briefly review those decisions and consider the implications for the family lawyer’s role.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.049 | 0.016 |
| Scholarly communication | 0.020 | 0.005 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.021 | 0.023 |
| Insufficient payload (model declined to judge) | 0.007 | 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".