P.N. Milyukov in the 20-30s of the 20th Century: Final Assessments of the “Bolshevik Experiment”
Bibliographic record
Abstract
The article examines the evolution of the views and forecasts of P.N. Milyukov, a prominent Russian politician, historian, and representative of Russian left-wing liberalism, regarding Russia's development in the 1920s and 1930s, based on publications in the Parisian newspaper “Latest News”. It is revealed that he predicted the inevitable demise of the Bolshevik regime due to the contradictions between the New Economic Policy (NEP) and the socioeconomic model. However, I.V. Stalin and the elite did not wait for popular uprisings to sweep away the ruling regime; instead, they began to create an isolated economic system based on the enslavement of the Russian peasantry. The Soviet economy in the 1930s operated outside all economic laws and was unprofitable, costly, and ineffective. The Bolshevik regime gradually degenerated into Stalinist despotism. According to P.N. Milyukov, the emerging society had nothing in common with the social ideal of V.I. Lenin. Nevertheless, the researcher did not deny the gigantic civilizational shift in Russian industry and agriculture and called this society socialist, despite all its contradictions. The analysis conducted by P.N. Milyukov in the 1920s and 1930s remains relevant in the first quarter of the 21st century.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".