LA NOTION DE DOMMAGE DANS LE CADRE DU DÉLIT DE NÉGLIGENCE (COMMON LAW) ET DE LA RESPONSABILITÉ EXTRACONTRACTUELLE DU FAIT PERSONNEL (DROIT CIVIL) AU CANADA:: UNE ÉTUDE EN DROIT COMPARÉ
Bibliographic record
Abstract
This study aims to set out the principles governing the concept of injury in the context of extracontractual liability resulting from one’s personal acts under Quebec civil law and the common law tort of negligence in Canada. The author seeks to identify similarities and differences that govern this concept and to put forth suggestions on the legal status quo. While the applicable rules in this area only partially converge, the legal concerns remain by and large similar. Court findings are alike in some instances but differ in others. The comparative study of injury within the two legal cultures in Canada proves to be quite a field to discover!
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| 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".