Évaluation de l'intermodalité à Montréal. Développement d'outils de planification
Bibliographic record
Abstract
While intermodal concept is already mature in most European transport networks, North American takes a long time developing it. Cities of "all-car" policies feel congestion increasingly critical though. Aware of these issues, the authorities launched the modal shift, despite the complexity of procedures related to intermodality. With his "Best North American transportation company" prize in 2010, the STM targets for 2020, records for the number of passenger. Major projects will profoundly reshape the transportation of the city and should help to bring a modal shift of 5%. This study aims to develop an inventory of intermodality in Montreal, in order to identify the essential concepts necessary for the success of future projects. Transfer, connection offered, transit, bicyle use, performance of metro stations and associated assessments methods are the essential elements that make up this report. The main objective is to provide the fullest possible knowledge of intermodality, its components and its integration in mobility in Montreal.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".