Exploring the awareness and perceptions of the Canadian 24- Hour Movement Guidelines in the development of recommendations for rural and remote communities
Bibliographic record
Abstract
The present study evaluated the awareness and knowledge of the Canadian 24-Hour Movement Guidelines in rural and remote communities, and explored how to adapt guideline communication material to improve their impact and relevance. People living in rural and remote communities completed a cross-sectional survey (N = 76) and individual interviews (N = 12) to explore what is known about the guidelines and provide recommendations to help adapt the materials to local context. Overall, most participants were aware of the guidelines (44.7%) and had moderate knowledge of recommendations and dosages (64.5%). Deductive thematic analysis was used to code the barriers and facilitators to meeting guideline recommendations and map them onto the Behaviour Change Wheel. Recommendations for adapting the guidelines were created which included: providing additional information on being active outdoors and at home, information discerning sedentary behaviour and inactivity, and tips to combat seasonal changes in daylight.
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".