Neighbourhood change and Canadian inner cities : the case of West Broadway
Bibliographic record
Abstract
Neighbourhood change is a comprehensive topic with multiple theories and models, which describe, break-down and analyze it.Unforrunately the multiple theories and models are often in conflict or fail to acknowledge factors outside of their own linear lines of thought.The purpose of this thesis is to compile these theories and create a more comprehensive understanding of neighbourhood change without neglecting the many factors and processes of change.While acquainting the reader with a theoretical background of the various models of neighbourhood change a more comprehensive model of change was proposed.This model involved the previous models along with additional elements of change.A qualitative and quantitative analysis of the Winnipeg inner city area of West Broadway was done to demonstrate the complexity of neighbourhood change and the applicability of the comprehensive model.The quantitative analysis uses census data between I97l and 2001.The qualitative component involves an analysis of interviews regarding recent changes in the neighbourhood.The thesis also draws on similarities between the dominant American literature and Canadian examples of neighbourhood change, in addition to opportunitiesfor Canadian literature to explore its own examples and expand its theory of neighbourhood change.1) 2) 3) continued decline takes a turn.Chapter 4: Indicators of Change in West Broadway wrll look at the most recent stage in West Broadway's history, discussing its revitalization process and updating the story of West Broadway.The final chapter, Chapter 5: West Broadway's Scenario will summarize West Broadway in terms of models of change and make predictions based on this sunmary for where the neighbourhood might be heading.This chapter also reflects on the literature on neighbourhood change in light of the experience of 'West Broadway.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.041 | 0.012 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".