Precedent Revisited: Carter v Canada (AG) and the Contemporary Practice of Precedent
Bibliographic record
Abstract
In addition to the important substantive changes to Canadian law brought about by Carter v Canada (AG), the decision is significant for its consideration of the doctrine of stare decisis. This article examines the circumstances under which Canadian courts, including courts lower in the relevant hierarchy, might be entitled to revisit otherwise binding, higher court precedents and to depart from them. At least in constitutional cases, the Carter trial decision affirms that trial judges may reconsider rulings of higher courts where a new legal issue is raised or where there is a change in circumstances or evidence that “fundamentally shifts the parameters of the debate.” Following a review of the recent Supreme Court of Canada case law on stare decisis, including Carter, the article turns to some critiques of the Court’s newly articulated approach to revisiting precedents in lower courts, and responds to those critiques. The article also looks to the recent case law in which courts largely reject attempts to reconsider precedents from higher courts, revealing that the pull to follow precedent remains strong in Canadian law.
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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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.031 | 0.040 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 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".