The Esquimalt and Nanaimo Rail Trail - Building on the Capital Regional District's Trail Network
Bibliographic record
Abstract
The Capital Regional District (CRD) manages 85 kilometres of pedestrian and bike paths consisting of the Galloping Goose and Lochside Trails. These facilities are the backbone of a 475 kilometre CRD cycling network which includes bike lanes on roads, trails and shoulders on selected roads. The Galloping Goose Trail provides a direct link for cyclists between the urban core and the fast growing suburbs in the western parts of the CRD and was constructed on an abandoned road alignment (a Rail _to_ Trail). A new trail being constructed by the CRD in 2009, the E&N Rail Trail, will be constructed within a railway corridor and alongside a functioning railway (a Rail _with_ Trail). The E&N Rail Trail will traverse two First Nations lands and five municipalities and will link all of these with Downtown Victoria. This paper outlines some of the design constraints, such as the narrow railway corridor and safety concerns for trail activities immediately adjacent to an operating railway line, and how the implementation of the E&N Rail Trail will add another valuable link to the CRD's pedestrian and bike path system.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.038 | 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".