Self-assessment of health and readiness for military service of senior pupils of Yakutsk
Bibliographic record
Abstract
At present, the state of health of young men deserves special attention on the part of the state, since they are not only the economic, social, demographic, but also the defense potential of the country. The evaluation of the health of young people of their own health in terms of the ability to perform certain social functions and roles, that is, self-evaluation of health, is important in assessing health. In order to study the opinion of the young men about their health and their compliance with the requirements of military service, an anonymous survey of 325 senior pupils of four Yakutsk general education schools was conducted. It was found that many young men of Yakutsk low estimate their readiness for military service. An analysis of the self-assessment of the degree of physical training made it possible to establish that more than a third of high school students believe that they have poor or insufficient physical training, more than a quarter believe that they are not physically ready for military service. At the same time, less than a third seek to improve their physical training through regular physical training and sports, the remaining boys regularly do not engage in physical culture and sports, explaining this subjective reasons. Most know that there are such diseases in which one does not join the army, and one in four believes that he has such a disease. Of the 100 senior pupils, 8,2 ± 1,5 assess their health as bad, 11,2 ± 1,8 consider that for health reasons they are not fit for military service, at the same time 42,4 ± 2,8 believe that to military service they are only limitedly fit or temporarily unfit. Statistically significant differences in the self-assessment of health and the degree of physical fitness between the Yakuts and the Russians were not established.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".