Bibliographic record
Abstract
A city of some 45,000 people and a diverse range of employers, Cornwall's is often described as 'a great place to live and work,' and many of the City's economic initiatives are tied to this theme. However, over the past few years it has become clear that promoting Cornwall as a great place to live and work can be significantly enhanced by creating a walkable and bicycle-friendly community. In fact, whether the overall objective relates to retaining youth in the City, promoting the environment, or increasing tourism potential, there are strong links to the improving conditions for walking and cycling. In 2010, the City of Cornwall Completed its first ever Bicycle and Pedestrian Master Plan. Drawing on TAC's recent publication Transportation-making it work in Canadian Communities, the plan identified a number of strategic initiatives to increase the uptake of active transportation in the City. Over the last two years, the City has been aggressively implementing a number of initiatives identified in the plan with very successful outcomes. The City of Cornwall's Active Transportation Plan and follow-up implementation is very much in line with the criteria for the Sustainable Urban Transportation Award and the results are highly transferable to other Canadian communities. One of the most exciting features of this project is that the time from initial planning to implementation and subsequent transformation was less than three years. This project was nominated for the TAC 2011 Sustainable Urban Transportation Award. For the covering abstract of this conference see ITRD record number 201211RT334E.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".