Green and active transportation planning with Pinawa, Manitoba
Bibliographic record
Abstract
Pinawa is recognized as an award-winning, active town in Manitoba with many breathtaking nature experiences. However, further green and active transportation (AT) opportunities could improve community living and tourism in the town. A multi-method approach was employed for this strategic analysis, incorporating semi-structured interviews, site observation, mapping connectivity, and comparative case studies. The community's top priorities included enhancing mobility in Pinawa. This involved expanding the trail system into the town's downtown area, improving signage for wayfinding, enhancing public transportation, creating crosswalks, adding bike lanes, installing new placemakers, and increasing options for bike rentals to facilitate AT in Pinawa. Maps reveal how key Pinawa attractions are disconnected but can be linked through walking trails, sidewalks, and bike lanes. This study provides planners, policymakers, and environmental advocates with green infrastructure solutions for health and economic vitality. This research contributes to understanding AT's role in rural communities, providing practical recommendations to prioritize AT in infrastructure planning, funding, and policies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".