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Record W1910695415 · doi:10.21083/nrsc.v0i6.2880

De la malédiction d’être arabe et de quelques moyens, pour un écrivain algérien, d’y échapper

2013· article· fr· W1910695415 on OpenAlexvenueno aff
Anouar Benmalek

Bibliographic record

VenueNouvelle Revue Synergies Canada · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

En recouvrant les balises de l’engagement politique, social et poétique qui anime sa vie et son œuvre, et ont fait de lui un écrivain à la fois profondément algérien mais aspirant, dans le même temps, à l’universalité la plus large possible, Anouar Benmalek questionne ce paradoxe du « être arabe, malgré tout » : comment être un écrivain issu du monde arabe, sans renier ce qu’on aime le mieux dans ce monde arabe (sa générosité, son hospitalité, la chaleur des relations humaines, le raffinement des restes d’une grande civilisation où la poésie, par exemple, avait pu passer« pour l’état de béatitude suprême auquel il est permis à un être humain d’accéder de son vivant ») et, en même temps, crier haut et fort la répulsion qu’on éprouve devant la culture de la mort, de la haine des autres, de la femme en particulier, et du ressentiment envers le monde entier qui semble y devenir insidieusement la norme ?

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.307
Teacher spread0.280 · 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 teacher head, not a consensus.

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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueNouvelle Revue Synergies CanadaSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207