Bibliographic record
Abstract
The Low Level Road (LLR) project involves the realignment and widening of approximately 2.5km of urban and rural arterial road within the City of North Vancouver boundaries. The project incorporates improvements to road safety, community connections, and increase on a Port trading capacity with the construction of over 7 km of pedestrian and cyclist facilities, a tiered retaining wall system, a vehicle overpass, and three pedestrian bridges. As the Prime Design Consultant for Port Metro Vancouver, Stantec provided design management and engineering services for civil/roads, rail, structural, utilities/drainage, geotechnical, electrical, landscaping, and traffic engineering; as well as construction support. The design was done in accordance with the Transportation Association of Canada’s (TAC) Geometric Design Guide for Canadian Roads, including the BC MOTI Supplement to TAC. The key road safety objectives for the LLR project are to: Eliminate rail/road conflicts and associated safety risks at three existing at-grade crossings along the LLR corridor (i.e. at St. Andrew’s Ave, south of St. Patrick’s Ave, and at the access to Neptune/Cargill port terminals); Minimize interaction between motorists and railway operations along the LLR corridor; Address existing roadside hazards related to the proximity of vehicles, cyclists and pedestrians to barrier ends, utility poles, and unstable slopes; Improve the cross-sectional design of LLR, including wider shoulders and setback distances; Improve pedestrian and cyclist facilities on and adjacent to the corridor, including improvements to the North Shore Spirit Trail, a recreational green pathway, and; Enhance operations at the Neptune/Cargill port terminals with improved access, geometry, and laning. This project was nominated for the TAC 2015 Road Safety Award.
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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".