The Role of Neighbourhood Groups in Municipal Governance: A Case Study of Abandoned Buildings in Windsor
Bibliographic record
Abstract
Neighbourhood groups are a feature of municipal politics across Canada yet are understudied in mid-sized cities. They are often portrayed as a mechanism for allowing residents to be more engaged in decisions affecting their neighbourhoods and to improve municipal decisions by incorporating the lived experience of municipal residents into that decision-making. It is therefore important to examine the formation of neighbourhood groups, whether they influence municipal decisions, and whether they are representative of their neighbourhoods. This article examinesthese issues through a case study of four neighbourhood groups in Windsor, Ontario. Using interview data as well as analysis of primary and secondary sources, it examines the top-down and grassroots forces that shaped these groups and their involvement in council decisions relating to vacant buildings in the city. The conclusions reached are that there were clear limits to the influence that they exerted on municipal decision-making. These groups did represent the interests of their communities and, when provided with external resources to develop their institutional capacity, they did help promote municipal policy change. This was, however, incremental change at the margins of the policy process.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".