Entretien avec Pr Afifa Bererhi : « L’histoire littéraire algérienne est à construire »
Bibliographic record
Abstract
Entretien avec Pr Afifa BERERHI, Docteur d’Etat en langue et littérature françaises de l’université Paris-3 en 1988 ; docteur Honoris causa de l’université de Valenciennes ; professeur à la retraite de l’Université d’Alger ; professeur invité à l’université de Grenoble entre 1995 et 1998 ; directrice de la revue KALIM de l’université d’Alger de 2011 à 2014 ; directrice de la Collection « Auteurs d’hier et d’aujourd’hui » des Editions du Tell de Blida de 2004 à 2010 ; membre de la Coordination Internationale des Chercheurs en Littérature Maghrébine (CICLIM) de 1989 à 2000 ; membre du Conseil d’Administration de l’Association Internationale des Etudes Québécoises (AIEQ), Montréal de 2005 à 2013. Elle a dirigé de nombreux ouvrages collectifs : Algérie, ses langues, ses lettres et ses histoires ; L’autobiographie en situation d’interculturalité ; Camus et les Lettres Algériennes ; l’espace de l’interdiscours ou encore Lire Dib.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".