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Record W3139190996 · doi:10.1515/multi-2020-0138

Transgressive Arabic discourse in Lebanese political protest

2021· article· en· W3139190996 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMultilingua · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsPoliticsIntertextualityDiglossiaSociologyLinguisticsPolitical scienceHistoryLiteratureArabicArtLaw

Abstract

fetched live from OpenAlex

Abstract A wide range of Arabic language variation in form, code choice and orthographic script was wielded by Lebanese political protestors in their graffiti and political placards in Beirut in 2015. That summer, civil protests spilled out into the streets to critique the government inaction over waste management and overall corruption. I will focus on four tactics that highlight a trend towards linguistic transgression and strategic recontextualization of Arabic discourse in these protests: reworking of state iconography; inscribing irreverent spoken dialect in written form; incorporation of hashtag (#) participant and interpretive frameworks; and the recontextualization of traditional calligraphic forms in new contexts. This paper explores the intertextuality of protest signage and consider the ways in which the transgression of traditional linguistic boundaries might inform understandings of the social dynamics of contemporary politics in Lebanon.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.415
Teacher spread0.381 · 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