Priority directions of health promoting schools activity for improving the health in Eastern European countries
Bibliographic record
Abstract
The priority directions of health promoting schools activity for improving the health in Eastern European countries are under review: Poland and Russia – wellness-sports, for the Czech Republic and Hungary – preventive, for Ukraine – preventive-educational. The preventive line provides the foundation of the preventive measures system and impact of risk factors on the development of diseases; improving-sports complex activities as sports oriented and the wellness on elimination of expressed risk factors, and the complex of actions for the patients’ rehabilitation; preventive-educational direction is considered from the point of view of the benefits of the educational component (motivation on health maintenance, preventive care). The special attention is paid to the analysis of theoretical and legal bases of national networks of health promoting schools European countries activities. The main aspects are determined and legislated including: goals and objectives of the establishment and activity of the European network of health promoting schools; the main directions of its activity; forms and methods; management structure of activity and interaction and cooperation within the European network of health promoting schools. Determined that the idea of the project of the European network of health promoting schools is a further development of the WHO strategy , developed in the Ottawa Charter, the programme «Health for all», «Health – 2020» and «Europe – 2020».
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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 | 0.024 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".