Dangerous Illusions and Fatal Subversions: Russia, <i>Subjugated Rus΄,</i> and the Origins of the First World War
Bibliographic record
Abstract
This article examines how the annexation of Austrian (East) Galicia emerged as a distinct political—and ultimately military—mission in St. Petersburg before the First World War. The Russian nationalist project to recover the “lost lands of Rus΄ became an extension of the domestic agenda formulated by Peter Stolypin to promote Russian political and cultural hegemony in the western provinces of the empire. The campaign to liberate Subjugated Rus΄ and defeat “Ukrainian separatism” in Galicia led St. Petersburg to become ever more deeply engaged in the complex borderland politics of the Habsburg empire in the years before the war. By 1914, the idea of Subjugated Rus΄ and “four million persecuted Russians” came to inform the whole of St. Petersburg's understanding of its relations with Vienna and created an expectation that war with Austria-Hungary was inevitable.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".