Качество жизни населения Сибири (популяционное исследование)
Bibliographic record
Abstract
Health related quality of life was studied in random sample of 2156 men and 2769 women aged 4569 years. Russian version of SF-36 was used. Quality of life was significantly higher in men than in women оn all scales. The difference was 30% on role physical, 25% on role emotional, 17% on vitality and bodily pain, 15% on physical function, 14% on mental health, 11% on social function and 10% on general health. Quality of life indices declined from 45 to 69 years both in men and in women except social function. The biggest decline was observed in persons aged 6569. The highest quality of life indices in Novosibirsk population were observed on physical function and social function while the lowest on general health. Quality of life indices in Novosibirsk population were lower than in Canada, England and New Zealand in the same age groups but were comparable with quality of life in St-Petersburg.
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How this classification was reachedexpand
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.017 |
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; both teacher heads agree on what is shown here.
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".