The Economic Successes and Sources of Discontent in East Central Europe
Bibliographic record
Abstract
By some measures, the European Union’s Eastern enlargement, and the attendant securitization of East Central Europe through membership in the North Atlantic Treaty Organization, have brought significant economic and welfare benefits to the former Soviet satellites or republics that have joined these organizations. All of their economies are considerably larger than in 1989. Foreign investment has helped fuel significant growth in the region, and financial linkages between East and West had a stabilizing influence during and after the US financial crisis of 2008-09. But economic success in absolute terms has not prevented a sense of disappointment from settling over the region, nor has it forestalled an illiberal backlash in a number of countries, which has had economic, political, and in some cases ethno-populist dimensions. This article examines some of the main economic trajectories around growth, consumption, investment, and finance. It explains why, despite numerous positive measures, both economic and political liberalism are under intensifying scrutiny. Growing inequality within countries, as well as continuing inequality – including power disparities between East and West Europe – have fueled discontent with the terms on which many East Central European states have integrated into the EU.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".