Harmoniser le Droit Dans un Espace Multilingue et Pluri-Juridique: Un Point de Vue Canadien (Legal Harmonization in a Multilingual and Poly-Jural Space: A Canadian View)
Bibliographic record
Abstract
In what way does Canada act a testing ground for legal harmonization in a multilingual and pluri-juridical environment? In Canada, harmonization focuses on language and separate legal traditions. The equal legal authority of the French and English versions of federal law and the laws of certain provincial legislations is of elementary importance. Where the harmonization of legal traditions is concerned, a distinction should be made between formal and informal harmonization. Informal harmonization refers to the process of exchange and mutual influence between the common law and the civil law within the country. Moreover, it is a constitutional principle in Canada that the application of federal law may vary from one province to another depending on which provincial law is in force. In short, the legal diversity springing from separate legal traditions is part of the constitutional order, and it is regarded as an advantage rather than a drawback. The federal government has made a considerable effort to adjust the laws to take into account the civil law of Quebec, and has promulgated a rule ordering that the federal laws must be interpreted so as to accommodate both legal traditions. While the Canadian experience shows that the harmonization process is never complete but an ongoing challenge, nevertheless it emphasizes the value of pluralism and the meeting of languages and legal traditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".