The Myth of Master Planning: More than Urban Design: a Comparative Analysis of the Master-Planned Affordable Housing Developments Stuyvesant Town and Regent Park
Bibliographic record
Abstract
This paper explores the role of urban planning policy, urban housing policy, and urban design on master planning. Though master planning as a concept has historically been tied to urban design, this paper argues that this notion is fundamentally flawed, and that urban planning policy and housing policy play an equally important role. This topic is explored through a case study analysis of Stuyvesant Town and Regent Park, master-planned affordable housing projects in New York City and Toronto, Ontario. With a focus on process, policy, and design, this paper will discuss how interpretations of master planning in New York and Toronto influenced the development of both housing projects. A comparative analysis of both projects highlights the multi-faceted nature of master planning, and demonstrate the importance of urban planning policy, housing policy, and urban design ideologies to master planning.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".