Bibliographic record
Abstract
Résumé Depuis sa parution en 1884, le roman Angéline de Montbrun a suscité des lectures fort variées, d'ordre moralisateur, psychanalytique, formel ou féministe. Mais il est un aspect de l'oeuvre qui est resté relativement peu exploré, celui de sa littérarité. Pourtant, ce roman s'appuie autant, sinon davantage, sur un hors-texte littéraire que sur une réalité extra-textuelle. En effet, on y trouve de nombreuses citations, parfois identifiées mais le plus souvent implicites. Surtout, le roman entretient un rapport privilégié et constant avec son génotexte, le Journal d'Eugénie de Guérin. fe propose donc une lecture littéraire ¿¿'Angéline de Montbrun, oeuvre palimpseste, qui permettra d'éclairer la pratique intertextuelle de Laure Conan tant dans les liens établis avec des textes venus de divers horizons qu'avec fe Journal de son illustre devancière.
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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".