Testing the Elastic-Cities Concept within a Nonmetropolitan Environment: Evidence from British Columbia, Canada, 1971 to 2001
Bibliographic record
Abstract
In this study I tested the elastic-city hypothesis within a nonmetropolitan environment. Elastic cities are defined as employing aggressive annexation strategies that result in more effective planning control over the city-region, higher population increases, stronger tax bases, and healthier urban-regional economies than those of nonelastic cities. Principal component analysis was used to analyze and model the elasticity of British Columbia's approximately 100 municipal governments for a thirty-year period, 1971–2001. The findings do not completely support the correlation between a municipality's elastic boundary and growth or development. In fact, the picture is more complex than suggested by Rusk's elastic-cities concept. Annexing municipalities do not exhibit stronger population growth, newer dwellings, or economic development when compared with nonannexing municipalities. Annexation may be contributing to rural-urban sprawl rather than more-compact development patterns.
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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 | 0.001 | 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".