Bibliographic record
Abstract
For those concerned about the democratic legitimacy of Charter review by Canadian courts, the idea of dialogue offers a promising middle path between the extremes of judicial and legislative supremacy. Current dialogue theory, however, largely fails to live up to this promise of compromise. Instead of distinguishing democratic worries associated with US style, strong-form judicial review, it largely endorses the legitimacy of such review. For dialogue to live up to its original promise, a new theory that more clearly distinguishes Canada from the United States is required. This article offers a new theory of dialogue in which the willingness of the Supreme Court of Canada (SCC) to defer to reasonable legislative sequels will be the key to success. As a result, section 33 of the Charter will play a valuable, but largely background role in promoting dialogue. The advantage of this approach, compared to rival approaches that would weaken judicial review, is that it is more realistic and more in line with existing SCC practice. Moreover, this approach is normatively desirable when judged from the perspective of the courts' capacity to counter blockages in the legislative process that might otherwise impair the enjoyment of Charter rights.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.032 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.007 |
| 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".