Modes d'intervention en situation de conflits (MISC) afin d'améliorer l'accès à la justice des citoyen.ne.s
Bibliographic record
Abstract
La REL liée aux modes d’intervention en situation de conflits (MISC) vise à inventorier et décrire l’ensemble de la vaste offre de justice disponible, dans une vision holistique et interdisciplinaire de la gestion des conflits. Le projet MISC réalise cet objectif en développant un manuel pédagogique en évolution continue, constitué de connaissances concrètes sur les MISC disponibles gratuitement, sous licence libre. Les étudiant.e.s en droit accèdent gratuitement à une expertise essentielle à leur future profession disponible en un seul lieu. L’originalité du projet repose sur la création d’instruments de connaissances et d’orientation pour répondre aux besoins des juristes d’aujourd’hui et de demain qui conseillent les citoyen.ne.s en première ligne dans la résolution de leurs conflits. Pour citer ce site et les documents qu'il contient: Belleau, Marie-Claire (2025). Modes d’intervention en situation de conflits (MISC) afin d’améliorer l’accès à la justice des citoyen.ne.s. Université Laval. fabriqueREL. Sous Licence CC BY 4.0 International
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.020 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.037 | 0.009 |
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".