Victory Square : a case study in municipal planning for inner-city revitalization
Bibliographic record
Abstract
This case study provides an analysis and evaluation of a contemporary inner-city revitalization initiative, the subject case being the Victory Square planning process and subsequent draft Concept Plan released in June, 1995. The subject case is analyzed in terms of the impact of inner city "revitalization" initiatives on the low-income residents who live within districts targeted for revitalization, the fundamental question being: "Who benefits (or suffers) from revitalization efforts?" Evaluation of the subject case begins with the normative proposition that direct benefits from revitalization should accrue to the existing residents of affected low-income communities. The central research question involves identification of the key elements or characteristics of planning process and policy necessary to achieve the normatively defined outcome. These elements are employed as criteria against which the subject case is analyzed and evaluated. The thesis reviews the evolution of urban renewal/revitalization strategies in the post-war period, and parallel shifts in inner-city demographics as Vancouver continues its transition to a post-industrial economy. Gentrification trends, land use policies, and the senior government retreat from housing, are discussed in terms of their negative consequences for low-income inner-city residents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.021 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".