Czech Emigration in Western Europe, USA and Canada; National Consciousness and Relationship to Homeland in Comparation with Attitudes of Czechs Living in National State
Bibliographic record
Abstract
The subject of this thesis is a diversified conception of Czechishness. The main proposition is a comparison of types and aspects of relation to the country in the case of (political) emigrants after 1948 in contrast with the "home-based" non-emigrant Czech population. The thesis will briefly mention also the preceding periods of Czech emigration, the socio-economic situation at the turn of the 19th and the 20th centuries, the 1950s etc. All this will be put into the context of the historical turning of the Czech lands away from the West, despite the latter being the destination of the post-February emigrants. In this respect the description of social-political events as perceived by the citizens at the time, by the official propaganda and by emigrants is crucial. The image of the West or emigrants as perceived then together with other conclusions will be compared with the basic theories of migration and migration policy. In the section on political emigration legislation of the period incl. its wording will be quoted. The thesis focuses exclusively on emigrants to the West, especially to Western Europe, the USA and Canada, but also to Australia and Israel. It reflects the direction and the main centres of emigration, checks the relevance of information on the numbers of exiled Czechs, their...
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".