The Maidan Massacre Trial and Investigation Revelations: Implications for the Ukraine-Russia War and Relations
Bibliographic record
Abstract
Abstract This study analyzes revelations from the trial and investigation in Ukraine concerning the mass killing that took place in Kyiv on 20 February 2014. This Maidan massacre of protesters and police led to the overthrow of the Yanukovych government and ultimately to the Russian annexation of Crimea, the civil war and Russian military interventions in Donbas, and the Ukraine-Russia and West-Russia conflicts which Russia escalated by illegally invading Ukraine in 2022. The absolute majority of wounded Maidan protesters, nearly 100 prosecution and defense witnesses, synchronized videos, and medical and ballistic examinations by government experts pointed unequivocally to the fact that the Maidan protesters were massacred by snipers located in Maidan-controlled buildings. To date, however, due to the political sensitivity of these findings and cover-up, no one has been convicted for this massacre. The article discusses the implications of these revelations for the Ukraine-Russia war and the future of Russian-Ukrainian relations.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".