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Record W4312677249 · doi:10.17118/11143/19263

"Le danger de la fûsha pour la langue arabe" : traduction de l’article de Béchir Khraïef

2021· article· fr· W4312677249 on OpenAlexvenueno aff
Samia Kassab-Charfi

Bibliographic record

VenueCircula · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicLanguage, Linguistics, Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyArt

Abstract

fetched live from OpenAlex

""Le danger de la fûsha pour la langue arabe" est un texte paru en juillet 1959 dans la 10e livraison de la revue tunisienne al-Fikr. Béchir Khraïef (1917-1983) y soutient l’idée selon laquelle la langue arabe classique, la fûsha, serait une… langue étrangère. Dans ce beau plaidoyer en faveur de la langue usuelle, Khraïef est fidèle à sa posture d’écrivain engagé contre toutes les formes de discrimination. Si dans Barg Ellil (1960), il exalte la sensibilité et la dignité d’un jeune esclave noir, si Eddegla fi arajinha (1969) illustre au détour d’aventures rocambolesques le parti pris de Khraïef pour la cause des femmes dans une société patriarcale oppressive, cet extrait du 4e tome des OEuvres complètes – qui rassemble des articles, des écrits théoriques et des réflexions sur la langue, quelques lettres et dialogues – participe en quelque sorte de la même démarche. Khraïef y analyse le clivage diglossique qui gangrène le rapport des Arabes à leur langue et y détaille précisément, en mêlant la perspicacité de l’observateur et l’ironie de l’écrivain amoureux de la derja, les mesures de discrimination qui ont été adoptées par les traditionalistes au détriment de la langue usuelle. [...]"

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.011
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.013
GPT teacher head0.237
Teacher spread0.224 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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