Rights Adjudication in a Plurinational State: The Supreme Court of Canada, Freedom of Religion, and the Politics of Reasonable Accommodation
Bibliographic record
Abstract
A disproportionate number of the Supreme Court of Canada’s recent cases on freedom of religion come out of Quebec and involve claims for reasonable accommodation. These decisions represent a point of national cleavage in two respects. First, in each case the Quebec Court of Appeal rejected the section 2(a) claims, and the Supreme Court of Canada overturned its decision. Second, the Supreme Court has often divided on national lines with one or more francophone judges from Quebec writing a concurrence or a sharp dissent. Moreover, francophone judges from outside Quebec have also broken ranks with their colleagues. The cleavages on the Supreme Court have sometimes tracked a large and arguably growing divide between Quebec and the rest of Canada on these questions. I link this line of cases to earlier disputes about the constitutionality of Quebec’s policies to promote the French language that were ultimately resolved by the Court. The fact that the Court spoke in a single voice in those earlier cases can be explained, in part, by the need to preserve its institutional legitimacy. This time, the point of dispute is not language, but religion. The Supreme Court is groping incrementally toward a kind of consensus position on the character of the “neutral” state to close this divide within the Court against the backdrop of an intense political debate on these issues in Quebec.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.035 | 0.022 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".