Child Nutrition Problems and Measures of the Struggle During the Great Patriotic War (1941–1945) (to the 80 Years of Victory in the Great Patriotic War)
Bibliographic record
Abstract
The article presents the results of a historical and medical study reflecting the problems of child food during the Great Patriotic War of 1941–1945. The purpose of the study is to conduct an objective analysis of the situation related to the shortage of child food in the most difficult period of the history of our country and give an impartial assessment of the state measures taken to solve the problems that have arisen. An analysis of archival and literary sources indicates that providing children with food during the war was one of the most difficult tasks of high-priority importance. Deprived of vital nutrients and vitamins that guarantee normal growth and development processes, children of war suffered from hypotrophy, hypovitaminosis, rickets, they had а physical and psychomotor retardation, a decrease of the body resistance. Despite the extraordinary circumstances, a set of state measures was implemented to ensure the need of the child’s body for the necessary vital nutrients and vitamins. However, some territories had difficulties of an objective and organizational nature with the supply of food to children. To save the lives of young children, their normal physical and psychomotor development, reduce morbidity and mortality, scientists conducted research in order to obtain alternative food sources rich in proteins, fats, carbohydrates and vitamins that replace children’s foods that were scarce during the 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".