Bibliographic record
Abstract
Since 1875, Canadian courts have been permitted to act as advisors alongside their ordinary, adjudicative role. This book offers the first detailed examination of that role from a legal perspective. When one thinks of courts, it is most often in the context of deciding cases: live disputes involving spirited, adversarial debate between opposing parties. Sometimes, though, a court is granted the power to answer questions in the absence of such disputes through advisory opinions (also called references). These proceedings raise many questions: about the judicial role, about the relationship between courts and those who seek their ‘advice’, and about the nature of law. Tracking their use in Canada since the country’s Confederation and looking to the experience of other legal systems, the book considers how advisory opinions draw courts into the complex relationship between law and politics. With attention to key themes such as the separation of powers, federalism, rights
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.068 | 0.019 |
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".