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Record W2800300894 · doi:10.29173/af29346

Entretien avec Ezza Agha Malak

2018· article· fr· W2800300894 on OpenAlexvenueno aff
Efstratia Oktapoda

Bibliographic record

VenueALTERNATIVE FRANCOPHONE · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchHumanitiesArtPoetryRiteThe artsPhilosophyLiteratureTheologyVisual arts

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.010

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.

Opus teacher head0.019
GPT teacher head0.286
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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