Therapeutic scientific medical schools of Kuban: to the question of formation and development in the first half of the XX century
Bibliographic record
Abstract
The article deals with the formation of therapeutic scientific directions and the further development of scientific schools in the Kuban Region in the first half of the 20th century. Historiographic, biographical, problem-chronological, descriptive, and comparative methods are applied within the framework of social and cultural, and axiological approaches. The contribution of professors N. N. Nizhibitsky, K. M. Rutkevich, E. M. Zhadkevich, P. I. Budarina, V. L. Einis, K. A. Patsevich, and others is considered in the implementation of scientific research on a wide range of nosologies related to the clinical course of internal diseases that were widespread among the population at that time. It is revealed that the first half of the 20th century in the Kuban Region was a period of formation of specific areas of research activities in internal diseases. These areas were the forerunners of the building and development of scientific therapeutic schools of the Kuban, as well as the allocation of other independent scientific areas in the framework of introducing new medical specialties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".