A Regional Perspective on Canadian Suburbanization: Reflections on Richard Harris’s Creeping Conformity
Bibliographic record
Abstract
Richard Harris’s recently published Creeping Conformity offers a carefully reasoned interpretation of the country’s evolving suburban landscape from the late-nineteenth to the mid-twentieth century. In particular, Harris argues that Canadian suburbs have passed from a state of diversity to one of conformity. No longer are suburbs a jumble of land uses and social classes. Instead, through the initiative of large, vertically integrated corporations, supported by federal mortgage and other fiscal policies, suburbs have become more middle class, yielding to a "conformity" in the shaping of their physical design and social make-up. This paper suggests that factors of a distinctive regional character—for example, corporate land development in western Canadian cities before World War I and provincial town planning and zoning legislation in the 1920s—require elaboration within the "diversity to conformity" model. Once done, we can then speak more assuredly about how, when, and to what extent "conformity" has emerged to distinguish Canada’s suburban landscape.
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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 | 0.000 | 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 | 0.001 | 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) | 0.002 | 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".