Operationalizing Urban Ecology and Circular Economy in Montreal’s South-West Neighborhoods Using an Interdisciplinary Approach
Bibliographic record
Abstract
Abstract As a result of deindustrialization and insufficient proactive investments by governments, industrial wastelands on the edges of towns and cities are multiplying. These sites illustrate the instability of mono-functional zoning and inadequate city regulations to ensure long-term resilience, particularly evident along once-industrialized waterfronts like Montreal’s Lachine Canal. Since its closure to commercial navigation in 1974, the Lachine Canal’s programming has focused on recreational activities, largely neglecting infrastructure and adjacent industrial areas. However, these post-industrial areas present significant opportunities to rethink the city and create sustainable, resilient neighborhoods. In the context of climate change and resource depletion, rehabilitating both the under-used building stock and the largely vacant sites with mixed programming, appropriate density, and green infrastructure, can regenerate urban fabrics and the earth’s productive capacity. The post-industrial landscapes along the Lachine Canal possess several assets that the City of Montreal could leverage in its quest for resilience in the face of climate change, which it can achieve by leveraging industrial heritage, promoting urban biodiversity, and incorporating principles of circular economy, urban ecology and urban metabolism. This chapter documents an Action Research process focused on the sustainable redevelopment of neighborhoods along the Lachine Canal. It draws on interdisciplinary and inter-university research involving architecture, life cycle assessment, and construction engineering from three Montreal universities and builds upon previous inter-university endeavors going back to 2019. The approach highlights the importance of interdisciplinary collaboration and the role of universities in promoting urban ecology and circular economy through collaborative research and demonstration projects. This interdisciplinary approach aims to bridge gaps in architectural and engineering education and fosters co-learning, contributing to the creation of resilient and sustainable urban environments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".