Intensification and Sprawl: Residential Density Trajectories in Canada's Largest Metropolitan Regions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study investigates the balance between forces of standardization and differentiation in the evolution of residential density in Canada's four largest metropolitan regions between 1971 and 2006. The leading factors of standardized development are the continentwide postwar adaptation of urban form to the automobile and growing housing space consumption. The influence of these factors is manifested in increasing convergence in the density levels of the four metropolitan regions as one moves from older to newer zones. Nonetheless, inherited urban forms, topography, economic and demographic performance, and land-use and transportation policies all have the potential to shape distinct density patterns. Each metropolitan region presents a specific density trajectory: Toronto registers a pattern that can be qualified as stable and recentralized; Montreal emerges as a decentralizing metropolitan region; Vancouver shows clear signs of intensification; and in Ottawa-Hull the trajectory combines decentralization and stability. These different metropolitan trajectories offer lessons for intensification strategies. Findings suggest that continentwide tendencies are shaped by features specific to each metropolitan region, and that successful intensification policies must build on those features. Keywords: density gradientsmetropolitan regionsmetropolitan trajectoriesurban intensificationmetropolitan planning
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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 | 0.001 |
| 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 it