Generational Differences in Values in Central and Eastern <scp>E</scp>urope: The Effects of Politico‐Economic Transition
Bibliographic record
Abstract
Abstract This article explores the effects of post‐communist transition and European enlargement on intergenerational politico‐economic values in three groups of countries: Central and Eastern European countries that became European Union members; countries with EU membership prospects; and those that have no membership prospects, at least in the foreseeable future. The analysis indicates considerable differences between these three groups of countries and shows that over time Europeanization served as an intra‐cohort mechanism of social change: it smoothed over intergenerational differences and led to a trend of convergence in values between new Eastern members of the EU and Western Europe. Europeanization also appears to have some harmonizing power on intergenerational differences in countries with EU membership prospects. At the same time, the rough post‐communist transition process and the lack of consolidation mechanisms created considerable intergenerational differences in European countries without EU membership prospects, as revealed by the dominance of cohort replacement mechanism in these countries.
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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 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".