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Record W4406245897 · doi:10.25765/sauc.v8i2.606

Arabic Calligraffiti: A Political Liminal Practice in Street Art's Visual Scene

2022· article· en· W4406245897 on OpenAlexaboutno aff
Hela Zahar

Bibliographic record

VenueStreet Art & Urban Creativity · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityCalligraphyIslamGraffitiPoliticsArabicVisual cultureMiddle EastSociologyHistoryAestheticsMedia studiesVisual artsPolitical scienceArtAnthropologyLinguisticsPaintingLawArchaeology

Abstract

fetched live from OpenAlex

Arabic calligraffiti, a form of urban art, has spread in both Arab and Western cities, including Montreal, Paris and cities in Tunisia and elsewhere in the Arabic world. Its visibility underlines different tensions and highlights various conflicts and power relations, such as Arab-Western tensions in the visual culture of Western cities, tensions around the religious role of Islamic calligraphy in Arab cities, tensions around urban art in all cities, and tensions around the various digital spaces where these works are disseminated (Zahar, 2018). Arabic calligraffiti has its origins in Islamic calligraphy, modern Arabic calligraphy and the globalized graffiti movement. It is situated at the problematic meeting of the Arab and Western worlds and raises the question of possible interpenetrations and/or tensions (physical and digital) between those two cultural ensembles. Arabic calligraffiti can be considered in many ways as a liminal practice. In this article, we will illustrate the different facets of this liminal practice.

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)0.003
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 score0.017
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.019
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.023
GPT teacher head0.348
Teacher spread0.324 · 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
Published2022
Admission routes1
Has abstractyes

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