Policy as an approach to behaviour change: encouraging visits to the outdoors during leisure and recreation to promote health and wellbeing in Scotland
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Increasing visits to the outdoors for leisure and recreation has the potential to reduce societal inequalities and promote health and well-being. Government policy is one mechanism to support behaviour change at scale. Using Scotland as a case study, this paper examined how national strategies and plans incorporate behaviour change approaches to increase outdoor visits. It also assessed the utility of the Behaviour Change Wheel (BCW) framework for retrospectively analysing policy. The analysis found no single national strategy focused on promoting visits to the outdoors for leisure and recreation. While some policies include actions to encourage behaviour change, there is scope to expand these efforts and use a wider range of interventions. Doing so could improve access for groups who currently visit the outdoors less often and help prevent widening health disparities. The BCW proved to be an effective tool for retrospectively analysing behaviour change approaches in government policy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it