Evacuation of civilians in the Central Asian republics of the USSR during the Great Patriotic War
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 it