Economic restructuring and inner city change
Bibliographic record
Abstract
Thesis work Econonùc Resttucturing and Inner City Chang¿ examines the impact of economic restrucluring on inner city Winnipeg.Based on an extensive literature review ofneighbourhood change theories and urban change indicators on one hand, and the changing nature of the economy and its impact on urban processes on the other hand, indicators of economic restructuring are suggested.The data analysis is undertaken to analyze the irnpact of economic restructuring in Winnipeg compared to Canada's other metropolitan areas and in inner city Winnipeg vs. the rest of the city.The research involves key informant interviews that provide key policy makers' cornments on the problern.Policy implications address the issues facing the inner city as a result of macro- economic changes.The study concludes with suggestions for further research.Several indicators provide evidence of economic restructuring in Winnipeg that are likely to have an impact on Winnipeg's socio-economic future.In Manitoba the "New Economy" sector is relatively small, concentrated in the service sector, rather than in advanced manufacturing, and growing slowly.Though the economy is diversified and stable, it does not attract enough human capital into the city, does not produce enough new jobs, nor generate a significant enough demand for services to stimulate substantive urban revitalization.The processes of economic restructuring have enhanced the disparity between the inner 2. Neighbourhood Change: Literature R.eview This chapter of the literature review aims to document major theories that have been usedto explain urban decline, examine causes triggering decline in inner cities and identifli indicators ofneighbourhood change that have been used by different explanation hypothesis. Theories of Neighbourhood ChangeMany theories contribute to an understanding of the processes of neighbourhood decline and revitalization.Explanatory processes include natural evolution, ecological succession and down filtering, middle class flight, ageing of population, obsolescence of the built environment, changes in urban form and the pattern of suburban expansion, the unintended effects of public policy, structural econornic change and class and racial conflict among others.These theories contribute to a better understanding of the interaction and interdependence of neighbourhood, inner city, city wide, regional, national and international influences, and both macro and micro level processes.They also suggest different indicators of urban change that allow tracking of neighbourhood change.These indicators provide abasis for the analysis ofurban change processes caused by economic restructuring.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".