The contribution of Kazan scientists to the success of the fight against child mortality
Bibliographic record
Abstract
The work aims to analyze and present the contribution of scientists from Kazan medical universities and their pupils to the success of combat child mortality in Russia in the twentieth century using the historical and medical method. The most important results of the works of Kazan scientists can be considered the following: (1) the finding of underestimation of infant mortality; (2) development of methods for its statistical analysis; (3) identification of medical-statistical and social hygienic patterns of child mortality; (4) scientific substantiation of the methodology and strategy for reducing infant mortality in the USSR; (5) a comprehensive study of the problems of child mortality and substantiation of ways to reduce it in the Russian Federation in the late 20th early 21st centuries. Measures are proposed to further reduce child mortality, including a regional approach, reduction of the population's genetic load, priority implementation of antenatal and neonatal prophylaxis, prompt and full provision of treatment by the state for children with rare diseases, further development of specialized and rehabilitation assistance provided to children, intensive development of medical and social assistance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".