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Record W2883026828 · doi:10.17816/ped9372-76

Self-assessment of health and readiness for military service of senior pupils of Yakutsk

2018· article· en· W2883026828 on OpenAlexaboutno aff
Вадим Кузьмич Юрьев, Pavel G. Zhirkov

Bibliographic record

VenuePediatrician (St Petersburg) · 2018
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMilitary serviceQuarter (Canadian coin)PsychologyService (business)Medical educationPhysical educationMedicinePolitical scienceGeographyBusiness

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.337
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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