School Travel Planning with the Kahnawake Schools Diabetes Prevention Project: Partnership Perspectives
Bibliographic record
Abstract
Despite several studies examining the impact of school active transportation programming, there is limited understanding about undertaking the process of planning and evaluation from the perspective of community stakeholders. Most importantly, programming is rarely undertaken within an Indigenous context, which requires understanding of unique characteristics, culture, and needs. This study combined community-based participatory research with methods of ethnography within the Kahnawake Schools Diabetes Prevention Project in the Indigenous community of Kahnawake, Canada. This study fully engaged community members, built on pre-existing community and researcher strengths and increased the knowledge and understanding of active transportation to support schools in programming and implementation. In particular, this study, which may be relevant to other Indigenous and non-Indigenous communities, shed light on stakeholder perspectives of undertaking school active transportation program planning, which can inform the practice and provide support to others currently or planning to undertake similar projects.
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".