The Winter Walkability Project: Occupational Therapists' Role in Promoting Citizen Engagement
Bibliographic record
Abstract
BACKGROUND: Walkability is one feature of a person-friendly community that citizen engagement can influence. PURPOSE: Describe a winter walkability project and how an occupational therapist supported citizen engagement and participation in local policy decision making. METHODS: Seven stakeholder representatives undertook a participatory research project to address winter walkability. Through focus groups and walking logs, 10 citizens provided feedback on barriers to winter walking and a new sidewalk snow-clearing method. Analysis ascertained factors contributing to winter sidewalk walkability and factors promoting citizen engagement. FINDINGS: Results identified reasons for and barriers to walking, perceived reasons for sidewalk conditions, and perceived effectiveness of the snow-clearing intervention. Citizens recommended against using the new snow-clearing method. Factors promoting citizen engagement included individual actions producing nominal results, individual and community-level interest, and development as citizen-experts. IMPLICATIONS This project provides one example of how occupational therapists can take a sociopolitical role and facilitate citizen and occupational engagement.
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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 | 0.017 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".