Sitting ducks: Exploring the role of sedentary behaviour on chronic disease prevalence in masters athletes and chess players
Bibliographic record
Abstract
Sedentary activity is an important correlate of physical health. However, little is known about sedentary behaviour among older adults who are competitively involved in other types of activities (e.g., sport). This may be crucial since Masters Athletes have been proposed as ideal models of aging. Our previous work has also suggested this label could be expanded to include other forms of intense engagement; for example, both older athletes and competitive chess players report lower prevalence of chronic disease compared to the general population. Although, prior to advocating sport as an optimal activity to maintain health, it is important to understand the relation between active engagement and sedentary activity on the prevalence of chronic disease. To this end, we compared sedentary behaviour of Masters Athletes (N=69), chess players (N=44), with moderately active (N=64) and inactive (N=62) older adults from a Canadian normative dataset. Preliminary results indicated a significant correlation between type of activity and chronic disease (F=7.45, p
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".