"Academic Concerns"-Caring about Conversation in\nCanadian Common Law
Bibliographic record
Abstract
The Supreme Court of Canada, in its 2001 decision in Cooper v Hobart, refined the test in Canadian common law for establishing a duty of care in the tort of negligence. Although aware of the complexities and ongoing challenges of the "duty of care" concept, the Supreme Court openly labelled these concerns as "academic." This article confirms these concerns as "academic," but insists that this label underlines their centrality not only to an understanding of the tort of negligence but to the nature and form of common law reasoning. By pointing to errors in the Supreme Court of Canada's judgment-errors of using the wrong word, naming the wrong judge, confusing the structure of the duty of care inquiry, and omitting an important precedent case-the authors identify failures in the four principal activities of the common law: placing, naming, identifying, and remembering. They suggest that the image, sounds, and fluctuation of "conversation" capture the method of common law-its linking of past to future through imperfect yet evocative analogical reasoning-and affirm the importance of paying attention to the meaning of words, the names ofjudges, the structure of questions, and the importance of history
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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 | 0.025 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.063 | 0.111 |
| Scholarly communication | 0.026 | 0.025 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.013 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 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".