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Record W1988264034 · doi:10.1177/1746847711417930

Calligraphic Animation: Documenting the Invisible

2011· article· en· W1988264034 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

VenueAnimation · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Architectural Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPerformative utteranceIslamAnimationVisual artsArtContext (archaeology)LiteratureMysticismAestheticsHistory

Abstract

fetched live from OpenAlex

Calligraphic animation shifts the locus of documentation from representation to performance, from index to moving trace. Animation is an ideal playing field for the transformative and performative qualities that Arabic writing, especially in the context of Islamic art, has explored for centuries. In Islamic traditions, writing sometimes appears as a document or a manifestation of the invisible. Philosophical and theological implications of text and writing in various Islamic traditions, including mystic sciences of letters, the concept of latency associated with Shi‘a thought, and the performative or talismanic quality of writing, come to inform contemporary artworks. A historical detour shows that Arabic animation arose not directly from Islamic art but from Western-style art education and the privileging of text in Western modern art – which itself was inspired by Islamic art. A number of artists from the Muslim and Arab world, such as Mounir Fatmi (Morocco/France), Kutlug Ataman (Turkey), and Paula Abood (Australia) bring writing across the boundary from religious to secular conceptions of the invisible. Moreover, the rich Arabic and Islamic tradition of text-based art is relevant for all who practice and study text-based animation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.216
Teacher spread0.141 · 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