Art, culture, and urban revitalization: a case study of The Edge Artist Village
Bibliographic record
Abstract
This research explores culture-led regeneration; specifically, how and why small, community-based culture-led regeneration projects potentially affect their respective communities. Methodology is founded on an in-depth case study of The Edge Artist Village in Winnipeg, supported by a literature review, quantitative research examining property values, and archival research. The practicum shows that The Edge Artist Village has had a tremendous impact on the community of North Main Street. While various stakeholders interpreted The Edge‘s impact in different ways, perceptions of safety in the community have improved, and long vacant buildings in the neighbourhood are finding new tenants. This study makes recommendations as to how planners can potentially play a role in encouraging culture-led regeneration projects such as The Edge Artist Village, and suggests ways in which private developers and municipal government can collaborate more effectively to support their communities.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".