Bibliographic record
Abstract
This article describes the academic works of the N.P. Kravkov (1865–1924), a prominent Russian pharmacologist, on the study of the endocrine glands.In N.P. Kravkov’s laboratory, via experiments on rabbits and dogs, a method of isolating the pancreas and extracting its perfusate was developed based on passing Ringer-Locke’s solution through the vessels of the isolated gland. It was discovered that the perfusate contains a substance that reduces the level of glucose in the blood of healthy animals and, in large doses, causes hypoglycaemic coma. N.P. Kravkov called this substance pancreotoxin.The experiments of N.P. Kravkov’s followers on the isolated hearts of animals showed that, for a heart in the normal condition, pancreotoxin decelerates the heartbeat and reduces the amplitude of contractions, whereas for the heart tired above a certain threshold, the opposite effect is observed.The study of the blood vessels in isolated ears of rabbits and the eyes of frogs revealed antagonism between pancreotoxin and adrenalin: pancreotoxin weakens the vasoconstrictive effect of adrenalin and reduces its influence on the size of the pupil in frogs. It was also shown that passing the perfusate containing pancreotoxin through the adrenal gland increases the secretion of adrenalin.Later, pancreotoxin was obtained in the dried form and used to prepare a drug prescribed to patients with diabetes in hospitals.From its properties, pancreotoxin turned out to be insulin. It should be noted that the news that insulin had been isolated from the pancreas by the Canadian researchers F. Banting and C. Best reached Russia only after the researchers in N.P. Kravkov’s laboratory had extracted and studied pancreotoxin from isolated pancreases. Thus, N.P. Kravkov and foreign researchers discovered this hormone independently.In experiments on the isolated adrenal glands of cattle, N.P. Kravkov and his collaborators obtained the perfusate containing an adrenalin-like substance produced in the medulla of the adrenal gland and a muscarine-like substance produced by the suprarenal cortex.The research by N.P. Kravkov and his followers on the physiology, pathology and pharmacology of the glands of internal secretion at the beginning of the 20th century has proved to be of great importance for the development of endocrinology in Russia.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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".