Chancellor Boulevard – East Mall Intersection Redesign
Bibliographic record
Abstract
TransitFlow prepared this construction design package for UBC’s redesign of the Chancellor Boulevard – East Mall intersection at the Point Grey campus. Priorities include pedestrian and cyclist safety, traffic calming, rainwater capture, and creating a welcoming gateway presence. The design underwent an extensive iterative process to meet design requirements. The intersection was redesigned as a roundabout using curvature to slow traffic, directly enhancing pedestrian and cyclist safety. To further the safety of pedestrians and cyclists, raised crosswalks with pedestrian crossing lights and bike lanes have been incorporated. To prevent erosion of the Point Grey cliffs, the Chancellor Boulevard – East Mall intersection features a rain garden and drainage system leading to a storage tank. At the roundabout’s center, a UBC Thunderbird-inspired gateway sign, reflecting Indigenous artistry, symbolizes the importance of UBC’s connection with Indigenous culture. The design adheres to the TAC, City of Vancouver, BC MoTI and Infrastructure guidelines. The construction will unfold in 3 phases starting on May 5th 2025, and completing on November 26th 2025. To allow the intersection to remain operational throughout construction a traffic management plan has been developed for each phase to minimize traffic flow interference. The Class A cost estimate projects the project to cost $5,645,000. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.065 | 0.013 |
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".