Competing Visions at the EU’s Edge: Liberal vs. Conservative-Christian Notions of Europe in the Ukrainian–Hungarian Borderland
Bibliographic record
Abstract
Across Europe there is a plurality of competing visions on what Europe means, each appealing to identity and bringing along potential (geo)political implications. Identification with such visions are particularly worth investigating along the EU external boundary, some sections of which divide ethno-linguistic and religious communities. This paper is based on interviews with 23 elites in the Ukrainian–Hungarian borderland conducted some weeks before Russia’s full-scale invasion of Ukraine. The Ukrainian responses were marked by an overridingly positive view on Europe, while those of the Hungarians on both sides of the border were overall clearly more skeptical, with attitudes strongly overlapping with current hegemonic discourses on the EU in Hungary. The paper points to the salience of ethnic identities and the resonance of narratives in Budapest and Kyiv among these borderland communities. It also draws out tensions between the benefits of EU membership and a Hungarian national identity increasingly framed in opposition to the Union.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".