Bibliographic record
Abstract
Regular physical activity(PA) is recognised as playing a key role in promoting good health and tackling obesity. In many parts of the world there are concerns that people do not undertake sufficient PA, and that this problem is often worse for certain groups in the population. Low levels of PA amongst South Asian (SA) adults in the United Kingdom concern health policy makers and professionals because of the higher incidence of heart disease in this group than in the general population. Interventions have helped increase PA levels in white populations but have shown little success in engaging SA adults. One explanation is that interventions emphasise individual responsibility for health and pay relatively less attention to socio-cultural constraints on behaviour. Using qualitative, semi-structured interviews, we investigated influences on PA amongst 13 SA adults (aged 23-70) living in Halifax, Yorkshire, UK. The setting for our study was the participants’ community gym. A key aim was to identify characteristics of the gym that influenced usage by the local SA population. We found the gym had successfully engaged SA adults in a programme of regular PA, and that a sense of its “embeddedness” in the local community was crucial to this. Implications for practice and research in health promotion and obesity prevention are discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".