Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study analyzes which party of the conflict was involved in the 2014 Maidan massacre in Ukraine.The massacre of Maidan protesters and the police on 20 February 2014 was a turning point in Ukrainian politics.This mass killing led to the overthrow of the Ukrainian government and spiraled into a civil war in Donbas, Russian military intervention in Crimea and Donbas, the Russian annexation of Crimea, and conflicts between Ukraine and Russia and between the West and Russia that Russia drastically escalated by launching its illegal invasion of Ukraine in February 2022.This article proposes and tests the moral hazard theory of the state repression backfire.Content analysis of synchronized videos, testimonies by several hundred witnesses, confessions by 14 self-admitted members of Maidan sniper groups, and bullet hole locations show that both the police and protesters were massacred by Maidan snipers located in Maidan-controlled buildings and areas.Content analysis of synchronized videos revealed that the specific time and direction of shooting by Berkut policemen, who were charged with the massacre, did not coincide with the killing of specific protesters.Testimonies by the absolute majority of wounded protesters and some 100 witnesses and forensic examinations by ballistic and medical experts for the Maidan massacre trial and investigation in Ukraine corroborate this.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it