“By the Court”: The Untold Story of a Canadian Judicial Innovation
Bibliographic record
Abstract
What do the BCE case of 2008, the Securities Reference case of 2010, the Senate Reform Reference case of 2014, and the Carter (assisted suicide) case of 2015 have in common? All are unanimous decisions of the Supreme Court of Canada in which the reasons for judgment—the explanation as to why the outcome is the legally and constitutionally appropriate one—are not attributed to any specific named judge or judges on the Supreme Court, but rather to a mysterious entity called THE COURT. Very few Supreme Court decisions take this form, and there was a time not that long ago when no headline-worthy decision ever did—this is a practice that emerged on an identifiable date with a trackable history. Moreover, it is a purely Canadian story—it is not part of the legacy of English law, not something that crossed from south of the border by imitative osmosis, not an idea copied from anybody else. It is something that was developed by Canadian judges, that emerged in response to a very specific Canadian event, and that has evolved since that first experience. This Commentary identifies and explores this underappreciated and understudied judicial innovation.
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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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.048 | 0.036 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.009 | 0.014 |
| 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".