Transit-Oriented Development (TOD): Vector or Mirage of Metropolitan Planning and Governance Transformations in the Greater Montreal Area?
Bibliographic record
Abstract
Land use and transport integration has been an objective of the Greater Montreal Area for decades. Transit-oriented development (TOD) constitutes its most recent incarnation. This analysis of the ins and outs of the resort to this concept highlights the collective learning dynamics in the spatial planning of the area since 2001, with the creation of the Montreal Metropolitan Community (MMC). It reveals that the political discourse and especially the content of public policies on urban planning and public transportation have significantly changed, and now position TOD at the nexus of metropolitan processes. The apparent intention of urban densification that accompanies it is the result of an unprecedented political compromise among stakeholders of the region. However, this staging of a virtuous turn toward sustainability raises a host of questions on its potential impact on the territory, planning practices and political dynamics of metropolitan Montreal.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".