Ecological situation: the role of education and spirituality in improving health of population
Bibliographic record
Abstract
Human health is one of the most important issues for every period of society’s development. After all, the state of development of any country is determined by the level of health and literacy of the population living in the region. The article highlights the ecological situation, the role of knowledge and spirituality in strengthening the health of the population in Uzbekistan, the achievements of medicine, ecology, socio-demographic development in the country during the years of independence data on the reduction of infant and maternal mortality in the age group of the population are also presented. It is known that in more than a quarter of a century (1991-2019), the total mortality rate in the country's population decreased by 1.2% or decreased from 6.2 per thousand to 4.9 per thousand. However, there are still areas with high mortality rates (in Tashkent, Tashkent, and Andijan regions), which can be explained by their location at the transport hub and industrialization. The study and analysis of their regional aspects are some of the important aspects of geographical research. The article also focuses on the issues related to climate change and their impact on the nosoecological situation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".