Le désir séculaire : les XVIe et XVIIe siècles contrastés d’Alexandre Dumas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it