The “stiff-necked parson” and the “stiff-necked” state: religious freedom and the protection of State power and authority
Bibliographic record
Abstract
Constitutions are meant to endure, providing both stability and adaptability. Their public legitimacy depends on the ability of the courts and other interpreters to get this balance right. Why, then, has Canada’s constitution – only four decades old – produced so many surprises? Canada’s Surprising Constitution investigates unexpected interpretations of the Constitution Act, 1982 by the courts. In this illuminating collection of essays, leading scholars reflect on these surprising interpretations, focusing on fundamental freedoms; equality, Aboriginal, and language rights; structural features of the Charter; as well as the courts’ approach to the interpretation of the Constitution. The public legitimacy of the Constitution requires that it be seen as both relevant, as circumstances change, but also true to the values it embodies. The responsibility for getting this balance right lies not only with judges but also with legislatures, executives, scholars, advocates, and public interest organizations. The thoughtful work of this volume is crucial in identifying, accounting for, and – looking ahead – anticipating potential surprises. Its thorough analysis also offers a view of the Constitution in action. This wide-ranging collection will appeal to legal scholars and is essential reading for constituional experts. It will also find an audience amoung academics in political science and Canadian 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.034 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".