Evacuation of civilians in the Central Asian republics of the USSR during the Great Patriotic War
Bibliographic record
Abstract
Central Asia, along with the Urals and Western Siberia during the Great Patriotic War was one of the key rear regions of the USSR, and took a significant number of evacuated citizens.This article is devoted to the issues of the number of migrants, their transportation routes and features of accommodation in the region.The study of the existing statistical data showed that the errors of population accounting in 1941-1942 were large and could reach 15-20 % of the total number of people who arrived to evacuate the population.In addition, the population registers, for various reasons, provided the authorities with information on the number of evacuees with a great delay.However, it can be argued that all the years of the war, Central Asia has taken more than 800 thousand people, three quarters of which arrived in the region in 1941, and one quarter in 1942 the Largest number of migrants adopted by the Kazakh and Uzbek SSR -a total of about 80 % of the total number of evacuees.The reasons for this distribution were the high pre-war demographic and infrastructural potential of these Union republics.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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 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".