Post-communistic Transformation and Population Ageing Versus the Changing Migratory Patterns of Seniors: the Case of the Slovak Republic
Bibliographic record
Abstract
Vigorous socio-economic changes, the transformation to a market economy, the transformation of demographic reproduction and rapid ageing. These terms are associated with the development of Central and Eastern Europe after 1990. Many studies exist that evaluate the changes in international migration, fewer studies analyse the internal migration. The area of migration of seniors and their response to population ageing and socio-economic changes associated with the transformation remains almost completely unexplored. In the study we analyse the migration of seniors in the example of the Slovak Republic using detailed migration data and changes in this migration during the last quarter of a century full of transformational changes. Using regression statistical models we reveal the essential factors of migration. We try to determine to what extent the migration of seniors is selective, and to what extent seniors reflect the general migration trends associated with the change of political regime.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".