Aspects méthodologiques de la jurisprudence québécoise en droit commercial à la fin du XIXe siècle
Bibliographic record
Abstract
Dans la présente étude, l'auteure examine la motivation des jugements rendus en droit commercial à la fin du XIXe siècle, soit entre 1875 et 1900. Le corpus étudié est composé de 253 jugements de la Cour supérieure, de la Cour de révision, de la Cour du Banc de la Reine et de la Cour suprême, qui traitent des rapports juridiques des entreprises avec leurs membres, leurs dirigeants, leurs créanciers et leurs débiteurs. Après avoir situé l'étude de cette jurisprudence dans le contexte plus général des recherches sur la pensée juridique québécoise, l'auteure analyse la motivation judiciaire sur la base d'analyses quantitatives et qualitatives, en prêtant attention plus particulièrement à la structure et à la longueur des jugements, à la langue des opinions ainsi qu'aux sources citées dans les jugements.
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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 | 0.028 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.018 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".