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Record W2799325237 · doi:10.29173/af29350

La réception de l'imagination poétique aragonienne chez Ahmad Shâmlou, poète contemporain iranien

2018· article· fr· W2799325237 on OpenAlex
Akram Ayati, Mojgan Mahdavi Zadeh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueALTERNATIVE FRANCOPHONE · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

La réception des œuvres d’Aragon en Iran, renvoie aux années 1945-1955 où les poètes et écrivains iraniens, venaient de découvrir le surréalisme français à travers l’immense masse de traductions réalisées à l’époque. Ahmad Shâmlou, poète et traducteur des poètes surréalistes, a subi une influence non négligeable de l’œuvre d’Aragon. Lecteur passionné de celui-ci, Shâmlou a imité dans son écriture poétique, le style aragonien pour s’éloigner de la poésie traditionnelle persane. Une fois les vapeurs de jeunesse passées, Shâmlou se veut un poète engagé. Dans cette carrière littéraire, une source d’inspiration nourrissait l’imagination poétique de Shâmlou; Aydâ Serkisiyan, une femme qui représente et l’image de la bien-aimée et le symbole de la patrie et de l’humanité tout entière. Notre objectif sera donc d’étudier, les affinités qui, rattachent l’œuvre poétique de Shâmlou à Aragon, pour montrer comment un dialogue constant continue à s’établir entre les littératures française et persane.

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.

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)0.002
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 score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.017
GPT teacher head0.291
Teacher spread0.274 · 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