The European and Russian Far Right as Political Actors: Comparative Approach
Bibliographic record
Abstract
The article is devoted to the comparative analysis of the far right (nationalist) as political actors in Russia and in Europe. Whereas the European far-right movements over the last years managed to achieve significant success turning into influential political forces as a result of surging popular support, in Russia the far-right organizations failed to become the fully-fledged political actors. This looks particularly surprising, given the historically deep-rooted nationalist tradition, which stems from the times Russian Empire. Before the 1917 revolution, the so-called «Black Hundred» was one of the major far-right organizations, exploiting nationalistic and anti-Semitic rhetoric, which had representation in the Russian parliament – The State Duma. During the most Soviet period all the far-right movements in Russia were suppressed, re-emerging in the late 1980s as rather vocal political force. But currently the majority of them are marginal groups, partly due to the harsh party regulation, partly due to the fact, that despite state-sponsored nationalism the position of Russian far right does not stand in-line with the position of Russian authorities, trying to suppress the Russian nationalists. This is sharply contrasting with the situation with the far right in Europe, which are more well-established and institutionalized as political actors, using conventional forms of political activity. However, despite some differences with the European counterparts, the Russian far right have obvious potential as political actors, which can be realized under certain circumstances, enabling them to play more significant in the political system of Russia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".