Rapid Tranist and Mixed-Use Development Case Study: Two end-of-the-line metro stations Longueuil-Université-de-Sherbrooke and Montmorency stations, Montréal
Bibliographic record
Abstract
Selon le rapport des Nations Unies (World Urbanization Prospects, 2014), on estime que jusqu’a 2050 66% de la population mondiale vivra dans les zones urbaines. L'Amérique du Nord conduit déjà cette tendance, avec les prévisions atteignants 81,5% des citadins jusqu’a 2050.Les architectes et les urbanistes doivent proposer de nouvelles idées sur la façon de réagir à ce cours d'urbanisation en rendant les villes plus durables et neutres en carbone. La promotion d’une mixité d’usages, du développement axé sur le transport en commun et sur le transport abordable pour chacun peut jouer un rôle important dans la réduction de la contribution CO2 des villes. Dans ce processus, il est important d'apprendre des projets passés de conception urbaine. Cela pourrait aider à éviter des erreurs passées et à guider des concepteurs dans la recherche de solutions nouvelles et améliorées.[...]
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".