Bibliographic record
Abstract
Central Eastern Europe (further CEE) has been thoroughly reconstructed during nearly a quarter of century since the fall of the Berlin wall and the end of the cold war. The CEE countries turned to the West for economic and technological advancement, for political and administrative models as well as for protection. The authors coming from eight different countries look at the place and role of the former member states of the Warsaw Pact in the new European and international constellation. This concept of CEE includes most pro-western states of the former ‘Eastern block’: the four countries of Central Europe (Poland, the Czech Republic, Slovakia and Hungary) and the Baltic states (Lithuania, Latvia and Estonia). There were many tumultuous political developments in and around the region within the last decade, and especially during the last five years when the financial crisis started to take its toll. While the Atlantic link of Central and Eastern Europe is still strong, many commentators have pointed out its wearing strategic meaning. The balance between the focus on the USA and the EU has shifted in favour of Europe. However, this shift has rather been an incomplete one due to the region’s own political and economic problems. The aim of this special issue is to analyse the new constellation by looking at the CEE countries themselves, at their ability to react and adapt, produce sound political strategies and act on as national actors: through bilateral ties, regional co-operation, NATO and the EU. Also, the main external actors - the USA, Russia and Germany - are looked at as they directly influence the way how the CEE countries shape their policies.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.437 | 0.272 |
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".