Bibliographic record
Abstract
Optimism and opportunity in Russian–East European relations just a couple of years ago, especially with the Obama government’s express desire to “press the reset button” with Moscow, generated much hope, but it seems now that this also camouflaged deep issues of structure and process. Beyond historical mistrust and fear, an increasing drift away from democracy by Russia, while Eastern Europe, (geographically more broadly defined than during the Cold War), largely has sought closer political, economic and military integration with their Western neighbors, appears to have created two solitudes that may be irrevocably moving in different directions. Further, Russian ambitions and unrealistic expectations of regaining superpower status together with the belief that there may even be a shortcut to that restoration by manipulating the Western European powers, encouraging divisions within NATO and the European Union and isolating Eastern Europe or at least some of the states in the region, not only increases regional mistrust but ironically also diverts Russia away from the much needed fundamental economic and political changes that could transform it into a truly modern and successful state and a better neighbor and partner. Add issues such as the deployment of anti-ballistic missile defense systems in Eastern Europe over which Moscow continues to express vociferous military alarm but which in reality disguises Russian hegemonic ambitions or at best political fear, as well as Russia’s political use of energy and pipelines, and we have a combination that makes regional relations increasingly acrid and thus does not bode well for the future.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".