Children’s Health Care in Chuvashia Region During the Great Patriotic War of 1941–1945
Bibliographic record
Abstract
This article presents the results of historical and medical study reflecting the state of child health care system in Chuvash Autonomous Soviet Socialist Republic during the Great Patriotic War of 1941–1945. The aim of the study is to analyze the situation regarding children’s health care during the most crucial period for our country. We have studied published and unpublished documents from the State Archive of Russian Federation, archives of Chuvash Republic, newspapers, journals, collections of scientific articles, and monographs to cover this issue. Local health authorities have significantly reorganized their work during the war years and set new tasks for protection of local and evacuated children’s health and lives. People’s Commissariat of Public Health of Chuvash Autonomous Soviet Socialist Republic has managed to prevent the reduction in the number of pediatric medical and preventive institutions, implemented their adequate staffing level, increase the efficacy of therapeutic and preventive measures, and resist infectious diseases outbreaks even under the evacuation measures, insufficient funding, and lack of qualified specialists. The child health care system created before the war in the whole USSR (Chuvashia included) and the medical and preventive work that was carried out during the war gave positive results. Child mortality decreased by 1.7 times compared to the pre-war 1940. Thus, children’s health care in Chuvashia withstood this difficult test and proved its efficacy during the Great Patriotic War.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".