Vladimir Malahov, Skromnoe obajanie rasizma i drugie stat´i | V. S. Malahov, V. A. Tiškov, eds, Mul´tikul´turalizm i transformacija postsovetskih obščestv
Bibliographic record
Abstract
RÉFÉRENCE Vladimir MALAHOV, Skromnoe obajanie rasizma i drugie stat´i (Le charme discret du racisme et autres articles).Moscou, Dom intellektual´noj knigi & Modest Kolerov, 2001, 176 p. V. S. MALAHOV, V. A. TIŠKOV, eds, Mul´tikul´turalizm i transformacija postsovetskih obščestv (Le multiculturalisme et la transformation des sociétés postsoviétiques).Moscou, Institut etnologii i antropologii RAN, 2002, 356 p.1S'il est actuellement de nouveau à la mode de valoriser l'aspect multiculturel et multinational de la Russie et, rétrospectivement, de l'empire russe, les diverses variantes du discours « multiculturaliste » (canadien, américain, allemand, australien, etc.) n'avaient guère, jusqu'à une date récente, rencontré de réception ni trouvé d'équivalent dans les débats publics en Russie.C'est ce à quoi se proposent de remédier ces deux recueils d'articles.D'emblée, on constate avec soulagement que, loin de copier de manière peu critique un discours occidental à la mode ou de le condamner gratuitement, le philosophe Vladimir Malahov, auteur du premier recueil et éditeur du second, s'est lancé dans un projet d'adaptation critique du concept de multiculturalisme, anticipant une éventuelle lecture simpliste dans le contexte post-soviétique.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".