Bibliographic record
Abstract
Figure satanique, Gilles de Montmorency-Laval, seigneur de Rais (1405-1440) a fasciné de nombreux conteurs et biographes. Un personnage à la mesure de cette époque violente et chaotique où l’angélisme côtoie la barbarie. Compagnon d’armes de Jeanne d’Arc, il mena une brillante carrière militaire. Mais, ruiné par ses dépenses somptuaires, le grand seigneur se fit ogre. Il enleva, assassina des enfants, et s’adonna aux sacrifices humains. Arrêté et jugé par l’Église lors d’un retentissant procès, Gilles de Rais est exécuté. Il entre dans la légende. Une légende tronquée puisqu’on l’identifie alors à Barbe-Bleue, tueur de femmes et non d’enfants, mythe qui sera bientôt immortalisé par Charles Perrault. À partir de sources et documents inédits, Matei Cazacu mène l’enquête sur le premier tueur en série de l’histoire de France. Date de première édition : 2005.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.073 | 0.017 |
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".