Bibliographic record
Abstract
This study examines the Russia-Ukraine war in 2022 and the origins of the Russia-Ukraine conflict in the political transition during the Maidan in Ukraine in 2014. This transition of power contributed to the civil war in Donbas, Russian military interventions in Crimea and Donbas, the Russian annexation of Crimea and an international conflict between Russia and Ukraine and the West and Russia. This conflict escalated when Russia invaded Ukraine in February 2022. The research question is as follow: What is the nature of the Russia-Ukraine war and the political transition in Ukraine during the Maidan? This issue produced divergent narratives of this war and the Maidan in scholarly studies, the media, and governments. This paper uses political science theories of wars, mass protests, coups, revolutions, and regime changes and empirical analysis of various evidence to examine the nature of the Russia-Ukraine war and the political transition during the Maidan.
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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 | 0.003 | 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 | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".