La gouvernance de Vision Zéro au Canada. Les cas de Vancouver, Edmonton, Calgary et Toronto
Bibliographic record
Abstract
Ce cahier est tiré d’un rapport de recherche réalisé pour le compte de la Ville de Montréal et livré en 2023. Il présente plusieurs études de cas canadiennes mettant en lumière les politiques et les programmes relatifs à Vision Zéro, dans quatre Villes au Canada (Vancouver, Edmonton, Calgary et Toronto) en explicitant :les stratégies promues, la portée et la gouvernance de ces politiques.Les sources de données mobilisées dans le cadre de l’étude sont de deux types: - une série d’entrevues auprès de chaque responsable municipal (professionnel) de Vision zéro de chaque ville étudiée (réalisées en 2018). Les entrevues ont toutes été réalisées dans le cadre d’une recherche dirigée par la Pr. Marie-Soleil Cloutier (INRS-Urbanisation, Culture et Société), en collaboration avec la Pr. Florence Paulhiac Scherrer (QUAM). - des sources documentaires (documents publics et politiques) accessibles en ligne ont permis de compléter et mettre à jour les informations
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.004 |
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".