Improving Safety in a Historic Downtown Area of Winnipeg Through Infrastructure Renewal
Bibliographic record
Abstract
The North East Exchange District in downtown Winnipeg includes part of the Exchange District National Historic Site, a nationally recognized area with numerous warehousing, financing, and grain trade buildings dating from 1880 to 1913. Several of these buildings have been converted from traditional warehouses to loft style residential units over the past 30 years and there are a number of building expansions and redevelopment proposals in the area that are in the conceptual phase. Currently existing streets have wide pavements with narrow sidewalks that reflect the historical land use. As the area resident and employee population grows, there will be increased needs for updated and upgraded infrastructure, roads, pedestrian and cyclist facilities, parking, loading, and services. The streets of the North East Exchange are getting livelier, driven in particular by a number of new restaurants opening just south of the study area. MMM Group Limited was retained by the City of Winnipeg to develop a 10-year detailed and prioritized plan for infrastructure improvements in the North East Exchange District. These improvements included a number of safety-related components including: a) Improved walkability and accessibility for pedestrians which includes redesigning and reallocating rights-of-way to reflect a pedestrian first approach and support on street parking to support the redevelopment; b) Providing public transit amenities that are accessible and available; c) Improvements to bicycle facilities to provide safe cycling environment; d) Ensure the design conforms to Crime Prevention Through Environmental Design (CPTED) principles. The purpose of this paper will be to highlight the key safety components of the plan and how it will capitalize on every opportunity to create safe, inviting and liveable streets to support the revival of the North East Exchange District.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".