Encouraging Dog Walking for Health Promotion and Disease Prevention
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
Regular physical activity is associated with numerous health benefits, including the prevention of many chronic diseases and conditions or a reduction in their adverse effects. Intervention studies suggest that promoting dog walking among dog owners who do not routinely walk their dogs may be an effective strategy for increasing and maintaining regular physical activity. Strategies that emphasize the value of dog walking for both dogs and people, promote the context-dependent repetition of dog walking, enhance the social-interaction benefits, encourage family dog walking, and ensure availability of public space for dog walking may encourage increased dog walking. Research also supports organizing buddy systems via "loaner" dogs to facilitate informal walking by dog owners and non-dog owners. Given the number of homes that have dogs, strategies that promote dog walking could be effective at increasing physical activity levels among a significant proportion of the population. Maximizing the potential for dog walking to positively influence the health of individual people (and dogs) will only occur through implementing programs with broad population-level reach. Policies that facilitate dog walking at the community and population levels, such as "dogs allowed" places, off-leash zones, and dog-friendly built environments and parks, may contribute to greater physical activity through dog walking.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it