I.A. Ilyin’s Views in the Context of the Ideological Discourse of the Second Quarter of the 20th Century: Myths of Political Labeling
Bibliographic record
Abstract
In the article the author examines the contemporary debate surrounding the fi gure of I.A. Ilyin through the prism of established political science stereotypes of political classifi cation and comes to the conclusion that left-right spectral models of classifi cation are nonfunctional and require revision. He suggests to reassess ideological fi gures from the perspective of the civilizational approach. On the basis of the most common approaches to the concept of fascism and their correlation with Ilyin’s views analysis, the author argues against the scientifi c validity of classifying his ideas as fascist. He supplies key arguments of Ilyin’s criticism of fascism, highlighting his identifi cation of its fundamental errors and fl aws. The article also identifi es aspects of Ilyin's intellectual legacy that possess signifi cant potential in the current phase of Russia’s development.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".