Bibliographic record
Abstract
Abstract This chapter examines the origins of the Russia-Ukraine war. It analyzes narratives of the causes of this war by the Ukrainian, Russian, and Western governments and the media. It examines the role of such factors as the NATO accession of Ukraine, Russian imperialism, the Maidan, democracy, and the far right in the start of the war. The analysis shows that the illegal Russian invasion of Ukraine on February 24, 2022, represented the extreme escalation by Russia of the conflicts with Ukraine and the West, the civil war in Donbas, the annexation of Crimea, and the Western-backed violent and illegal overthrow of the pro-Russian government in Ukraine by the oligarchic and far-right alliance by means of the Maidan massacre and assassination attempts during Euromaidan. NATO accession of Ukraine was a major factor, but it, like the role of the far right, was inflated by Russia. Russian imperialism was also significant but secondary factor. Ukraine is not a democracy.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 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; 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".