The Urban Link: Newsletter of the Institute of Urban Studies, Volume 1, Issue 2
Bibliographic record
Abstract
Downtown Revitalization: Many Positive Developments, but Regional Approach NeededAfter a recent game of golf the discussion turned to the problem of downtown.One person commented that he had not been downtown for almost two years, only to be upstaged by another who stated his only contact with downtown in recent years was driving through it to reach other destinations.It was almost as though there was a sense of pride in avoiding downtown.Two people does not represent a proper sample but I wonder how many other residents of Winnipeg feel the same way?More than two I suspect.Does this suggest our downtown is no longer competitive or attractive?Are we pursuing the proper policies to make our downtown more competitive?Debate surrounding the redevelopment of the Eatons' site has once again raised important questions regarding our current efforts to revitalize our central business district, a tall order in the slow-growth economy that characterizes Winnipeg.Like so many North American cities, our downtown is now but one commercial node in a multi-centred region as commercial centres have emerged throughout Winnipeg's suburban areas.Besides the suburban shopping centres, additional competition for downtown comes from growing numbers of big box outlets and strip malls.There is no doubt that cities have to position their downtowns to compete more effectively with the suburbs.Downtowns no longer survive just as places to shop and work-they have to be much more.Many cities are refocusing their central business districts as centres for the arts, culture, entertainment, health services, education, convention centres, the hospitality industry, jobs in the new economy, and yes, sports activities.They are also attempting to convince more people to live downtown.So, how is Winnipeg doing in this respect?1. Centre Venture is providing assistance with feasibility studies of older, often unoccupied, office buildings and vacant lots to determine their suitability for adaptive reuse and conversion toThe Urban Link
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.252 | 0.100 |
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".