Voyages naturalistes : images romanesques et réflexions esthétiques dans la correspondance de Zola
Bibliographic record
Abstract
Émile Zola n’a pas été un grand voyageur. Mis à part l’exil en Angleterre durant l’Affaire Dreyfus, les quelques séjours de vacances à Marseille ou sur les plages de la Bretagne, les déplacements de l’écrivain hors de la capitale française sont peu fréquents, souvent dictés par les besoins de sa fiction et les exigences de la documentation qu’il accumule pour chacun de ses romans.Quoique l’auteur des Rougon-Macquart se dévoile peu dans ses lettres de voyage, celles-ci témoignent cependant du processus créatif qui inspire son écriture romanesque. Si la lettre, par définition, permet de conserver la trace de l’autre, elle devient aussi sous la plume de Zola un moyen de critiquer la littérature et de poser les jalons d’une réflexion esthétique, voire de devenir le laboratoire génétique de l’œuvre.
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 | 0.026 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".