Seasonality and climate change: Challenges for physical activity in older adults
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
Seasonality and climate change: Challenges for physical activity in older adults Research indicates seasonal variations in physical activity levels among adults in different climates due to temperature and humidity. Climate change’s increasing extreme weather may significantly affect physical activity in older adults already struggling to meet activity guidelines. Isabelle J. Dionne from the Université de Sherbrooke explains. Physical activity (PA) is a key behavior in the determination of health and quality of life of older adults but remains low in developed countries. The environment where PA is practiced is emerging as a significant motivation factor to adhere to PA in adult populations, and natural environments are now being promoted as a favorable milieu. Indeed, PA practiced in natural environments was associated with greater feelings of revitalization and positive engagement, decreases in tension and depression, and increased energy compared with exercising in synthetic environments such as indoors. Because outdoor PA, also called ‘green PA,’ is associated with higher adherence to a program than the same indoor intervention, a better understanding of how safe outdoor PA can be practiced all year round seems a promising avenue for health promotion.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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