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Record W4403768786 · doi:10.1016/j.procs.2024.10.218

Poems, Pulses and Polygons: How Classical Arabic Poetry Resonates with Music and Geometry

2024· article· en· W4403768786 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

VenueProcedia Computer Science · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Linguistics, Cultural Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPoetryComputer scienceArabicGeometryLiteratureArtLinguisticsPhilosophyMathematics

Abstract

fetched live from OpenAlex

This paper investigates the geometric patterns inherent in Arabic poetry rhythms, uncovering attributes that likely contribute to their historical popularity. Through comprehensive analysis, we identified a combination of computational geometric features that seem to correlate with defining a rhythm's attraction in Arabic poetry. These features can be used to generate similar but new appealing poetry rhythms. While there are multiple studies on the geometry of musical rhythms, our research offers a novel perspective by applying these geometric concepts to poetry rhythms, aiming to contribute to the understanding of rhythmic patterns across diverse creative domains. To the best of our knowledge, our work is the first attempt to transfer the geometric analysis of rhythms to Arabic poetry rhythms. Moreover, our findings hint at potential connections between the rhythms of Arabic poetry and English song lyrics.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0020.001
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 head0.023
GPT teacher head0.220
Teacher spread0.196 · 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