Expérimenter la transition écologique dans les ruelles de Montréal
Bibliographic record
Abstract
Les changements climatiques découlent de problèmes persistants qui exigent d’innover dans les manières de les aborder. Les expérimentations de transition représentent à ce titre de belles occasions. L’objectif de cet article est de présenter le projet d’expérimentationNos milieux de vie !mené à Montréal avec l’organisme Solon, et de rendre compte des apprentissages acquis lors des premières phases du projet et des adaptations à la démarche des expérimentations de transition auxquels elles ont donné lieu. Les explications de la démarche du projetNos milieux de vie !et la présentation des résultats de la première année permettent d’identifier quatre apprentissages principaux : le rôle crucial de Solon comme organisme de médiation, l’existence de temporalités diverses au sein du projet, l’importance de s’adapter aux demandes et aux besoins des participants, et l’existence de déterminants sociaux de la transition écologique.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".