Post-war migrations in the borderland and dispersion of the "untrustworthy" population due to political pressure
Bibliographic record
Abstract
Special migrations took place in the Soviet Union during the interwar period – they were labelled as economic migrations, which were for purposes of work, better conditions, and for the improvement of the new large homeland USSR and its yet unpopulated regions. This proclamation and propaganda covered up forced migrations which, under the command of the Stalinist communistic power, liquidated parts of nations and nationalities of Soviet republics, and their social structure (so-called kulaks, farmers, Cossacks, intelligentsia, etc.). In regions which became completely destabilized, these changed into genocide. An example is the famine in Ukraine during 1932-1933. An ethnic destabilization of the Baltic region originated in the apprehension and transportation of Latvians, Lithuanians and Estonians into GULAGs in Siberia and the Far East during 1940-1941, 1944-1954 which was the means of the Soviet power to fight against the aversion of these three states to be new union republics etc. In the interwar period, a diffusion of foreign and internal migrations, which continued from the era of Austria-Hungary and earlier, was common in Czechoslovakia. Migrations for work in different countries – US, Canada, Germany, Austria, France, Belgium, etc. – were frequent within concluded international contracts. After the decline of Czechoslovakia in 1939, Czechs left the borderland regions attached to Hitler‘s Germany and they searched for home in the inland of the Protectorate of Bohemia and Moravia. Czechs returned from Slovakia which became a satelite of Hitler’s Germany. Thereby, enforced migrations began to occur in our territory in the 20th century.
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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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".