Can Rust Belt or Three Cities Explain the Sociospatial Changes in Atlantic Canadian Cities?
Bibliographic record
Abstract
Research on American secondary cities has largely focused on so–called “rust belt” cities and has found that they tend to have economic stagnation, racialization, and urban decay in their urban cores occurring after economic crises. Most urban research on Canadian cities has, by contrast, focused on the country's largest cities, Toronto, Montreal, and Vancouver, and has found that urban cores are getting richer, less diverse, and undergoing infrastructural improvements. We examine each model by looking at four secondary Atlantic Canadian cities (Halifax, Moncton, St. John's, and Charlottetown) that all faced major economic crisis in the 1990s to see whether these models can explain the sociospatial changes occurring in them. Analysis of 1996 and 2006 Canadian Census data finds unlike “rust belt” cities or changes seen in larger Canadian cities, there is no clear sociospatial concentration of change. Rather, change is seen through “hot spots” of economic and physical characteristics of neighborhoods.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".