Gerald Sutton Brown and the Discourse of City Planning Expertise in Vancouver, 1953–1959
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Bibliographic record
Abstract
This paper examines the discourse Gerald Sutton Brown, the director of the newly created Vancouver Department of Planning, employed between 1953 and 1959. Amidst rapid urbanization and suburbanization, changes in local state governance, and wider debate over the urban future, Sutton Brown began speaking in public to popularize his vision of planning. He regularly compared planning to business, medicine, science, and politics. I argue that his co-optation of language, images, and metaphors drawn from more established professions promoted planning projects and asserted the authority of the planning profession. However, Sutton Brown’s rhetorical strategy obscured and depoliticized many of the realities of his high modernist planning program. Even if his discourse proved relatively ineffectual in the face offinancial, political, and practical constraints, his rhetoric was important because it demonstrated one way that high modernist ideas could be mobilized to promote significant urban change.
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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 | 0.001 | 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 | 0.001 |
| 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 it