Vers une économie circulaire au Québec : la démarche de la feuille de route inclusive et transformatrice du Réseau de recherche en économie circulaire du Québec (RRECQ)
Bibliographic record
Abstract
L’économie circulaire est un modèle économique visant des transformations systémiques afin de promouvoir des modes de consommation et de production durables. Bien que la transition vers une économie circulaire ait été amorcée dans plusieurs pays, elle demeure un défi complexe nécessitant des approches adaptées aux spécificités des contextes nationaux et territoriaux. Le Québec n’échappe pas à cette dynamique et s’engage dans des transformations sociétales majeures. Depuis 2023, le Réseau de recherche en économie circulaire du Québec (RRECQ) coordonne la cocréation de la Feuille de route pour la transition vers une économie circulaire de la société québécoise 2025-2050 (FREC) à l’horizon 2050 (RRECQ, 2025c). Cet article présente la démarche participative mise en place par le RRECQ pour son élaboration. Basée sur un processus de coconstruction des savoirs et impliquant diverses parties prenantes, la FREC vise à définir des trajectoires vers un futur circulaire souhaitable, inclusif et durable au Québec.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: yes · About a Canadian topic: yes | Other design | low |
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".