Testimonies of Several Hundred Witnesses and 14 Self-Admitted Maidan Snipers
Bibliographic record
Abstract
Abstract This chapter analyzes interviews and statements in the Ukrainian and other media and social media after the Maidan massacre of the Maidan protesters and the police by several hundred witnesses, primarily eyewitnesses among Maidan activists and journalists, concerning Maidan snipers, snipers in the Maidan-controlled buildings, and other evidence of the false-flag massacre in downtown Kyiv in Ukraine on February 18–20, 2014. It also examines interviews and statements by 14 self-admitted members of Maidan sniper groups, in particular, about shooting the police and the protesters in various media and the social media. Many Maidan activists and self-admitted snipers publicly stated that they witnessed involvement of specific top Maidan leaders from the oligarchic parties and far-right organizations in the massacre.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".