Bibliographic record
Abstract
Why was Kharkiv assigned the role of an alternative political capital of Ukraine during the Euromaidan revolution of 2014? Why did this plan fail? In this article the author tries to answer these questions by exploring Kharkiv’s role and place in the regional context of ongoing Ukrainian nation-state building in the historical perspective, focusing on the period after the dissolution of the Soviet Union. Issues of regional geopolitics on the Ukrainian-Russian border as well as the changing symbolic landscape of the city are explored. The proactive role of the central authorities as well as specific local traditions and identity played their roles in keeping Kharkiv on the sidelines of the “hybrid war” that engulfed the Donbas. The modernization matrix that promoted Kharkiv’s growth from a provincial town into a regional leader prevailed over the rhetoric of Russian nationalism employed by Putin’s regime during the annexation of the Crimea. At the same time, social apathy and national ambivalence, so typical of a borderland zone, also prevented the local population from falling into political extremes. Kharkiv’s cultural space continues to be a battlefield of competing discourses, each of which has been projected into the past and 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".