The Black Sea Region and EU Policy: The Challenge of Divergent Agendas
Bibliographic record
Abstract
Contents: Foreword, Jackie Gower and Graham Timmins Introduction, Karen Henderson Part I EU Policy in the Black Sea Region: European neighbourhood policy or neighbourhood policies?, Marek Cichocki The EU in the wider Black Sea region: clumsy but attractive?, Lucia NajA!lovA! Convergence without finalite: EU strategy towards the post-Soviet states in the wider Black Sea region, Kataryna Wolczuk. Part II Security and Conflict Resolution: Black Sea or Black Lake? How US-Russian tensions are affecting EU policy, Carol Weaver The European Union's increased engagement with the South Caucasus, Dennis Sammut A cacophony: the EU's security policy towards the South Caucasus, Syuzanna Vasilyan. Part III Regionalization and Energy: Russia and Turkey: An ascendant multidimensional strategic partnership in the Black Sea neighbourhood, TunA Aybak Complex regionalization in the wider Black Sea area, Mukhtar Hajizada The EU's external policy of energy diversification in the wider Black (and Caspian) Sea region: regional security complex or security community?, Slawomir Raszewski Conclusions: the way forward, Carol Weaver Index.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".