Europeans but outside of the EU - the EU Soft Power of Attractiveness in Ukraine Between the Orange Revolution and Euromaidan
Bibliographic record
Abstract
The role of the EU in the promotion of Europeanization and the EU political identity in potential member states of Eastern Europe prior to the 2004 enlargement was important for these states’ future acceptation in the EU community. However, most research and literature have discounted the role of the EU and its attractiveness in the countries neighbouring with the EU that did not have a prospect of joining the EU in 2004. This article studies the process of formal and informal Europeanization in Ukraine before and after the Orange revolution, which occurred five months after the bloc’s 2004 enlargement, and Euromaidan of 2013. Despite the EU’s passive leverage in Ukraine between 2004 and 2013, and the country’s weak prospects for potential membership, the EU’s soft power of attractiveness was still an effective tool that was used by Ukrainian political elite and media in promoting informal Europeanization after the 2004 enlargement. Furthermore, confidence in the EU was associated with support for such liberal values as human rights, tolerance of minorities, and political efficacy. This article posits that notwithstanding weak incentives and support offered from the EU to implement formal Europeanization in Ukraine, the EU attractiveness was successfully applied by local elite and media to promote the informal Europeanization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".