A Preliminary Analysis of a Pedestrian Walkway Connection between the University of Winnipeg and the Downtown
Bibliographic record
Abstract
Points• University of Winnipeg is growing and with over 10,000 students and staff the campus is the largest concentration in the downtown; • The University's AnX development will be located at the terminus point for the new rapid transit corridor that will connect the UofW with the UofM campus; • The Downtown BIZ estimates that 4834 pedestrians walk past the Rice Building on a daily basis.• Nearly 15,000 residents live in the neighbourhoods closest to the University of Winnipeg • The downtown residential population is also growing and is expected to surpass 16,000 • Winnipeg's Skywalk network is comprised of 2.4 km of fixed walkways that connect the Convention Centre, three hotels, 4000 parking stalls and 21,000 employees within 2 million plus square feet • High density, connectivity, and quality of life are three primary elements in maintaining a sustainable elevate walkway system.• Bus transit users will walk an average of 5 minutes or 400 meters to a stop • Maximum distance of downtown workers seeking retail services tends to be in the range of 500 to 800 meters but time is a key consideration in the choice of purchase (this includes time needed to reach a destination and return to the workplace) 4.0 SUMMARY, CONCLUSION AND NEXT STEPS............
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".