Identifying Outdoor Winter Walking Programmes and Resources for Older Adults: A Scoping Review of the Grey Literature
Bibliographic record
Abstract
Purpose: The objective was to synthesize outdoor winter walking programmes and resources for older adults, identified as a priority by the Winter Walk team comprised of older adults and researchers and trainees from the rehabilitation and geography sciences. Method: A scoping review of web-based grey literature was conducted. Teams of two reviewers independently assessed eligibility and extracted data. Web-based resources were included if their content dealt with adults ≥65 years of age; an outdoor winter walking programme, intervention, or general resource; and was written in English. Results: Twenty-seven website resources were eligible and included in the review. Resources were from Canada or the United States and included information provided by government, non-profit organizations, media, and businesses. All resources focused on some aspect of winter walking safety and only one mentioned a winter walking programme. Conclusions: Web-based resources for outdoor winter walking were synthesized to assist older adults and clinicians with access to safe outdoor winter walking information.
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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 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.022 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".