Make Art, not Sprawl: Using Form-Based Codes to Create Complete, Compact, and Livable Suburban Communities
Bibliographic record
Abstract
North American cities are experiencing rapid rates of urbanization and development, and it has become evident that the conventional Euclidean zoning model has failed to guide growth in a healthy, livable, and sustainable direction. This model, along with existing municipal fiscal policies and social preferences, enables the production of built forms that are conducive to sprawl. This MRP focuses on form-based codes (FBCs), and how this planning tool can be used to help combat sprawl and achieve the successful development of Smart Growth communities within a suburban context. An understanding of the existing literature, best practices, and analysis of the existing built form in the Fleetwood Town Center neighbourhood of the City of Surrey, British Columbia will help to justify the need for a more flexible zoning model. This research has shaped a set of recommendations to the City of Surrey to aid them in the development and implementation of their own FBCs.
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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) | 0.001 | 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 | 0.001 |
| 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".