Concept mapping applied to the intersection between older adults' outdoor walking and the built and social environments
Bibliographic record
Abstract
OBJECTIVE: For older adults, the ability to navigate walking routes in the outdoor environment allows them to remain active and socially engaged, facilitating community participation and independence. In order to enhance outdoor walking, it is important to understand the interaction of older adults within their local environments and the influence of broader stakeholder priorities that impact these environments. Thus, we aimed to synthesize perspectives from stakeholders to identify elements of the built and social environments that influence older adults' ability to walk outdoors. METHOD: We applied a concept mapping approach with the input of diverse stakeholders (N=75) from British Columbia, Canada in 2012. RESULTS: A seven-cluster map best represented areas that influence older adults' outdoor walking. Priority areas identified included sidewalks, crosswalks, and neighborhood features. CONCLUSION: Individual perceptions and elements of the built and social environments intersect to influence walking behaviors, although targeted studies that address this area are needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".