Bibliographic record
Abstract
Dans la nouvelle littérature française et francophone, Ezza Agha Malak est une figure emblématique de la littérature du postmodernisme. Directrice de recherches à l’Université libanaise, Médaille du Mérite de l’Éducation parlementaire, Chevalier dans l’ordre des Arts et des Lettres depuis 2012, Officier dans l’ordre des Arts et des lettres depuis 2011, Ezza Agha Malak est détentrice de plusieurs prix et trophées des institutions libanaises. Auteure de plus d’une trentaine d’ouvrages en français, (romans, recueils de poèmes, essais) elle a signé une centaine d’études et d’articles centrés sur des thèmes sociétaux et humanistes. Six ouvrages collectifs examinent son œuvre, réalisés par des chercheurs de tous pays. Son œuvre (traduite en plusieurs langues, notamment en anglais et en arabe) a fait l’objet de plusieurs thèses de doctorat et de mémoires de Master. Abstract: Ezza Agha Malak is a leading figure of French and Francophone contemporary literature. Head of research at the Libanese University, she was the recipient of numerous awards including the Médaille du Mérite de l’Éducation parlementaire and was made Chevalier dans l’ordre des Arts et des Lettres (2012) and Officier dans l’ordre des Arts et des lettres (2011). Ezza Agha Malak is also a prolific writers who authored more than 30 books in French (in genres ranging from poetry to novel) and 100 academic articles. Her work has been the focus of several dissertations and collective books, in addition to being translated in numerous languages including English and Arabic.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".