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Record W7133579297

Les artistes du Maghreb et du Moyen-Orient, l’art abstrait et Paris

2025· other· fr· W7133579297 on OpenAlexaff
Claudia Polledri, Perin Emel Yamuz

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2025
Typeother
Languagefr
Field
Topic
Canadian institutionsConcordia University
Fundersnot available
KeywordsContext (archaeology)HistoriographyTurkishPaintingPeriod (music)Middle EastSalon
DOInot available

Abstract

fetched live from OpenAlex

After World War II, Paris continued to attract artists from the MENA region. The form of abstraction that was developing then in Paris, particularly in the artistic networks gravitating around the Salon des Réalités Nouvelles, created in 1946, could, for certain aspects, echo living traditions that were familiar to them. The general historiography of gestural or lyrical abstraction and Art informel is rather silent about these artists and traditions. When analyzing the works of Georges Mathieu, Hans Hartung or Jean Degottex, it rather refers to East Asian arts. The works of these artists from the MENA region—some of whom were trained in calligraphy—are most often studied in terms of the “cultural area” they originated from, be it Hurufiyya (“letterism” in Arabic), the production of the Turkish school in Paris, or the work of the Iranian Charles Hossein Zenderoudi. The contributions in this issue study the artistic context and the abstract art scene in Paris in the post-WWII period with new or revisited sources that allow to trace the presence of artists from the Middle East and North Africa (MENA), and the rediscovery of these artists who were essential contributors to global abstract art.

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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.057
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.008
Scholarly communication0.0120.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0530.009

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 head0.011
GPT teacher head0.235
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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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