Bibliographic record
Abstract
Avec La semaine sainte (1958), Louis Aragon remonte jusqu’en 1815 pour trouver un contexte propice à la mise en roman d’une réflexion portant sur le sens de l’histoire et l’engagement. Au coeur de la désorientation politique du début des Cent-Jours, Théodore Géricault est le personnage central d’une fable qui fait la part belle aux anciens héros de l’Empire, désormais confondus avec les grands acteurs de la Maison du Roi en fuite. Pour les dépeindre, Aragon s’abreuve notamment aux sources de premier ordre que constituent leurs Mémoires, matière qui jouera pour beaucoup dans la genèse du roman réaliste français. Cette documentation, qui éclaire la représentation d’un moment charnière de l’histoire politique et littéraire française, n’est pas sans conséquence sur la poétique du roman, fortement influencée par la narration des mémorialistes, au point où en émerge une voix auctoriale qui en semble l’écho.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".