Canada-U.S. Metropolitan Density Patterns: Zonal Convergence and Divergence<sup>1</sup>
Bibliographic record
Abstract
The paper compares density patterns of the three largest Canadian metropolitan regions with those of a sample of 12 U.S. urban areas with comparable populations. It verifies if such patterns support claims of Canadian urban distinctiveness prevalent within this country's research literature. Findings indicate that regional differences among U.S. cities are as important as cross-national distinctions. Measures of centrality and overall density place observed Canadian metropolitan areas within the same category as older U.S. East Coast metropolitan areas. Inter-city comparisons of historically and geographically defined zones suggest a period of cross-national convergence before World War II, when the inner city was developed, followed by a period of divergence from the 1940s to the 1970s, when the inner suburb was built. The development of the outer suburb, which began in the early 1970s, marks a return to cross-national convergence. These results question the continued relevance of the literature on the distinctiveness of Canadian urbanization.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".