Bibliographic record
Abstract
The Waverley West Arterial Roads Project (WWARP) extends Kenaston Boulevard to the Perimeter Highway, relieving congestion on adjacent arterial routes, servicing the new Waverley West neighbourhoods, and creating a new north-south arterial route in southwest Winnipeg. Kenaston Boulevard was designated an economic route within the City of Winnipeg, Capital, Region and Province of Manitoba. It also provides access to new residential and commercial zones within the Waverley West neighbourhoods and, as a result, provides service to high volumes of commuter traffic. This complex, multi-disciplinary project had unique design aspects that were considered in the delivery of this project. The tri-level government funded project was split into three parts to be able to quickly get key pieces of infrastructure built first and to stage design and construction such that the schedule could be met. This paper and presentation will focus on Part III, the largest of the parts. Geometric design is key to every new transportation infrastructure project, and each has its own challenges. The paper will focus on the specific issues tackled on WWARP Part III, how current standards were applied, designs refined, and innovative ideas used to design and construct a safe, high speed arterial to modern standards. The WWARP project as a whole is comprised of over 40 lane-kilometres of high speed roadway connecting Kenaston Boulevard to P.T.H. 100, including a 105 m fly-over structure, the first of its kind in Winnipeg. The paper and presentation will provide real world examples of challenges faced when translating standards and guidelines on paper, onto pavement in the field. The safety of road users is of utmost importance and good geometric design is key to building a facility that protects users, yet at the same time allows for efficient movement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".