Bibliographic record
Abstract
Victor Erofeev est un écrivain russe né en 1947. Il a grandi au cœur du pouvoir soviétique. Dans Ce bon Staline (Moscou, 2004), traduit en français en 2005 chez Albin Michel, il a raconté son « enfance stalinienne » et parisienne. Son père appartenait à la « cour de Staline », conseiller et interprète avant de devenir conseiller culturel à l’ambassade d’URSS à Paris de 1955 à 1958. L’annonce de sa « dissidence », racontée dans le puissant roman La Belle de Moscou (1990), brisa la carrière de son père. Il publia ensuite d’autres livres, dont La Vie avec un idiot (recueil de récits adapté en opéra en 1992), qui ont été traduits dans les principales langues occidentales, mais aussi en chinois, en japonais, en iranien, et qui font de lui un contemporain majeur. Il vit en Russie et a bien voulu nous confier ce portrait de Poutine. Nos lecteurs admireront la verve puissante et perspicace de cet écrivain. COMMENTAIRE
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| 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".