Bibliographic record
Abstract
De mille et une façons et à travers un luxe de métaphores, la romancière a tenté d’élucider, tout au long de sa carrière, son rapport à la langue française et aux autres langues qu’elle a fréquentées. Élevée dans un contexte qu’elle décrit comme un « faisceau de langues », partageant son temps entre l’école française et l’école coranique, la narratrice de L’Amour, la fantasia constate que le français a été pour elle une tunique de Nessus, synonyme à la fois de libération et d’obstacle. Cette situation mène Djebar vers un « retour, par translation, à la parole traditionnelle comme parole plurielle (parole des autres femmes), mais aussi parole perdue, ou plutôt, son de parole perdu ». C’est ce statut de la parole associé à la traversée des langues qui sont examinés dans quelques romans d’Assia Djebar : Oran langue morte, La Femme sans sépulture, La disparition de la langue française et Nulle part dans la maison de mon père
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 | 0.009 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".