Le désir séculaire : les XVIe et XVIIe siècles contrastés d’Alexandre Dumas
Bibliographic record
Abstract
Alexandre Dumas est le grand romancier de l’échec : échec héroïque, mais aussi échec amoureux. N’en déplaise à Roger Nimier, Athos est le seul mousquetaire amoureux et son amour se révèle maudit ; comme par atavisme, Bragelonne court à sa perte par dépit amoureux. C’est que le Grand Siècle d’Alexandre Dumas n’est pas le XVIIe (qui serait plutôt celui de la déchéance, notamment amoureuse) mais bien le XVIe (l’admiration que porte Athos à son ancêtre Enguerrand de La Fère est emblématique), sur tous les plans, dont celui de l’Éros. En effet, le passé qui inspire tout particulièrement Athos est le XVIe siècle, époque où, selon lui, l’idéal chevaleresque avait encore cours et où, suggère Dumas, il se trouvait encore des poètes pour magnifier ces exploits. Or la magnification du XVIe siècle dans l’œuvre de Dumas n’est jamais aussi explicite qu’en ce qui a trait à l’Éros.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".