Bibliographic record
Abstract
Stendhal et Musil sont les deux écrivains par excellence qui se sont interrogés sur le type de connaissance qui vient de la littérature. Avant Musil et comme Musil, Stendhal répond à cette question fondamentale en montrant que le roman offre une connaissance des émotions humaines et de leur lien avec les valeurs. Il s’agit à la fois de valeurs éthiques — les situations morales dans lesquelles se trouvent les personnages — et des valeurs esthétiques et proprement littéraires — le tragique, le comique, le tragi-comique, le sublime, etc. Surtout, le roman n’est pas simple représentation du réel, mais aussi du possible. L’analyse de quelques phrases hypothétiques, conjectures et expériences de pensée dans Le Rouge et le Noir, confirme la thèse que la littérature propose une connaissance du possible à travers le travail de l’imagination.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".