Bibliographic record
Abstract
Depuis une dizaine d’années, on a lu ses papiers dans Le Figaro et Valeurs actuelles , on a écouté ses chroniques sur Europe 1 et on l’a vu débattre sur CNews. S’il se présente comme « sociologue » et héritier de Raymond Aron, Mathieu Bock-Côté est avant tout un éditorialiste qui évolue dans le sillage d’Éric Zemmour et flatte l’extrême droite à longueur de plateaux, de ce côté-ci de l’Atlantique comme dans son Québec natal. Pourfendeur du « wokisme », l’essayiste martèle un discours hostile au multiculturalisme et s’emploie à alerter son auditoire face à ce qu’il identifie comme un nouveau totalitarisme en marche. S’érigeant en véritable sentinelle antitotalitaire, Mathieu Bock-Côté ne cesse d’inverser le sens des dominations à coups d’euphémismes et de comparaisons bancales, loin d’un travail de recherche sérieux qu’il revendique et de l’aura intellectuelle dont il se nimbe.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".