Regional Greenways - Vision to Reality: Developing the Central Valley Regional Gateway
Bibliographic record
Abstract
The Central Valley Greenway (CVG) provides pedestrians and cyclists with a relatively flat, primarily traffic separated 25 km route connecting Vancouver, Burnaby and New Westminster. The CVG was developed in partnership with the federal and provincial governments, the regional governments at TransLink and Metro Vancouver, and the neighbouring municipalities of Vancouver, Burnaby and New Westminster. The goals of the CVG are to provide facilities that encourage people to cycle and walk, to attract new cyclists and provide experienced cyclists with improved connections. In Vancouver the 7.5 kilometers long route was constructed in three phases and links East Vancouver with the downtown and False Creek. The Greenway generally follows the rail line from the rail yards near False Creek, east to Burnaby. Along the way it climbs one hill to cross the rail tracks at Clark Drive and crosses ten busy streets. The CVG provided an opportunity to test several technical innovations including: sharrows or shared use lane markings are symbols placed on the pavement to demarcate areas of the street intended for bicycle travel; cross-bikes or multi-use path crossing markings at roadway intersections, are used to demarcate where the multi-use trail crosses the roadway at an intersection and where cyclists and pedestrians are to cross; and bike-streets are typical residential streets that have been retrofitted to create separated bike paths that look and feel like a street.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".