Bibliographic record
Abstract
BACKGROUND: Although the prevalence of physical inactivity is high in Canada, few studies have assessed its public health impact. METHODS: A cause-deleted methodology was employed to estimate the effects of physical inactivity on life expectancy. Life expectancy in 2002 was estimated from an abridged life table analysis, which was repeated after removing deaths from physical inactivity. Deaths from physical inactivity were estimated from published population-attributable fractions for coronary artery disease, stroke, hypertension, colon cancer, breast cancer, and type 2 diabetes. RESULTS: Life expectancy was 79.7 y in the total population, 77.2 y in males, and 82.1 y in females. Compared to overall life expectancy, physical inactivity cause-deleted values were 0.86 y lower in the total population, 0.65 y lower in males, and 1.0 y lower in females. CONCLUSIONS: Life expectancy could be increased by over 10 months if Canadians could be encouraged to be physically active.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".