The revitalization of the Exchange District, biennial as catalyst
Bibliographic record
Abstract
The Exchange District, once a vital part of Winnipeg's industrial district, has been struggling with disinvestment due largely to the shift from manufacturing-based to the service- and technologically-based economy in the city. This process of deindustrialization has transformed the warehouse structures in the Exchange District, to the point where they have become obsolete and no longer economically viable. Despite efforts from all three levels of government to rejuvenate the Exchange District, the process has been very slow and, to a large extent, unnoticeable. However, over the years, the area has been transforming slowly into an arts district. This thesis examines the importance of arts in urban life in general, and in Winnipeg's Exchange District in particular, through the proposal of a 'biennial' (a bi-annual international art exhibition) that might act as catalyst in this area's transformation into an artist village/center. Case studies of biennials in cities such as Newcastle upon Tyne in England, Kassel in Germany, and Venice in Italy are compared with respect to the social and economic impacts they have on the cities. Interviews with key players in Winnipeg such as planners, architects, cultural workers and stakeholders on the topic of a hypothetical biennial focused on the potential social, cultural and economic impacts of a biennial in order to address the central question of whether a biennial might be beneficial to the Exchange District and, by extension, to the City of Winnipeg. Highlighted are a number of recommendations, if a formal proposal for a biennial in the Exchange District were to be developed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".