Bibliographic record
Abstract
The City of Cambridge is one of the fastest growing and strongest economic areas in Canada with a population of over 125,000 people. It is strategically located within Waterloo Region on both sides of Highway 401 in southwestern Ontario. With a view to promoting sustainable transportation, City of Cambridge Council approved a 20-year Bikeway Network Master Plan in the spring of 2008. It recommended that an additional 112 km of cycling facilities be added to the existing 48 km of on-road cycling facilities. The network focuses on integration with Waterloo Region's Cycling Network and the City's off-road trails, to provide a viable alternative to motor vehicle usage for commuters, in addition to supporting recreational cycling. The Master Plan also recommended a wide range of policy and land use planning initiatives to ensure that future growth will facilitate improved transportation demand management. Implementation of the plan began in the fall of 2008. The paper will focus on the development of the 20-year Bikeway Network Master Plan, the challenges encountered, and the strategies within the plan for the design, funding, implementation, maintenance, and promotion of cycling routes and facilities in the City of Cambridge.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.088 | 0.020 |
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".