Bibliographic record
Abstract
Notre article aborde l’hétérolinguisme littéraire dans le roman amazighe (berbère, Maroc). Réputée pour son oralité, la littérature amazighe s’impose aujourd’hui en tant que littérature écrite, en croissance éditoriale, qui affermit ses genres et diversifie ses thématiques et son esthétique. En se constituant dans un système littéraire pluriel, elle fait l’écho de la diversité sociolinguistique qui caractérise la société et le marché linguistique marocains. Mais, l’hétérolinguisme romanesque prend davantage une dimension esthétique. S’appuyant sur un corpus de trois romans en amazighe, notre analyse se propose d’interroger la présence glossonymique des langues autres et les formes et fonctions qu’assurent les segments et îlots hétérolingues convoqués dans ces romans. Authentique et nouvelle dans le domaine des études littéraires amazighes, la question ouvre des perspectives de recherches originales susceptibles de renouveler les approches critiques.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".