Lend-Lease: delivery of medical products from the United States of America to the USSR during the Great Patriotic War
Bibliographic record
Abstract
This article discusses the emergence of the idea of Lend-Lease, as a method with the implementation of which, in conditions of force majeure, there was an opportunity to optimally solve important pressing problems. A fragment is given - the quintessence of the correspondence of the British Prime Minister Sir Winston Churchill, calling on the President of the United States of America Franklin Roosevelt and insisting on the need to introduce Lend-Lease. On the basis of archival documents and sources of literature, the role and share of medical products received during the Great Patriotic War in the USSR under Lend-Lease was established. The great importance of lend-lease is confirmed by a letter from F. Roosevelt dated November 4, 1941, addressed to Joseph Vissarionovich Stalin. The author discloses not the decisive, but significant, assistance provided in the provision of medicines, medical and sanitary products to the Soviet Union, especially over the first period of the war in 1941-1942, when some of the medical enterprises remained in the territories occupied by the Nazis. The largest number of deliveries was shown to be made by the United States of America, in comparison with the UK and Canada. The ways and logistics of incoming supplies are investigated. Products were proven to be received not free of charge, but under certain conditions. The USSR had to pay for the goods received until 2030. The Russian Federation, the legal successor of the USSR, managed to repay the debt in 2006. The role of public organizations that came to the aid of the Soviet people earlier than the governments of Western countries fighting Germany was emphasized. Behind the decisions taken on this issue, the policy of the Anglo-American allies in relation to the USSR, to the state, which must be helped in the fight against the common enemy, but in moderation, without strengthening its potential, is seen.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".