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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".