Quelques mots sur la recevabilité des éléments de preuve extrinsèques devant les tribunaux : le Canada et les États-Unis
Bibliographic record
Abstract
This article is a comparison of the use of extrinsic materials by the courts of Canada and of the United States in the interpretation of statutes. The author points out that in the United States the courts have reached the point where just about everything is admissible — particularly legislative debates, committee hearings and reports — but that in Canada the use of extrinsic materials is limited to the determination of the constitutionality of a law or statute. Although the courts of Canada are becoming more and more liberal in the use of extrinsic materials, the use of legislative debates is still not generally permitted even though they were used by one Justice of the Supreme Court of Canada in the Anti-Inflation Act Reference. The author wonders how long it will be before the Supreme Court of Canada will abandon the little that is left of the English tradition and permit the use of extrinsic materials not only in the determination of the constitutionality of a statute, but also in its interpretation.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.020 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".