Fitting in the Baltics: National Identity, Minorities, and Compliance with EU Accession Requirements in Lithuania and Latvia
Bibliographic record
Abstract
We explore the mechanisms responsible for variation in compliance with EU minority protection requirements in the Baltic region. In particular, we argue that in Lithuania nation-building efforts after the Cold War that sought to include the existing Russian and Polish minorities, as reflected in elite rhetoric and new legislation, have allowed for a rapid and effective transposition of EU required norms years later. In Latvia, by contrast, nation-building took on a more nationalistic character and thus excluded the existing Russian minority from becoming an integral part of society. Without an inclusive rhetorical or legislative basis, Latvia has struggled to meet the EU’s minority conditionalities. Drawing from reports by the European Commission against Racism and Intolerance, the EU Commission, and other sources, we leverage the ‘goodness of fit’ theory to better understand minority protection in former central and eastern European countries and generate insights of possible relevance for future enlargement rounds.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".