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Record W2006735023 · doi:10.2190/r59x-f3l2-ac8f-j99e

Emotion and Closure in the Sound Expressiveness of Quatrains from Fitzgerald's Rubaiyat of Omar Khayyam

2000· article· en· W2006735023 on OpenAlex
Cynthia Whissell

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

VenueEmpirical Studies of the Arts · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsLaurentian University
Fundersnot available
KeywordsAllusionFatalismPoetryClosure (psychology)Gestalt psychologyPsychologyLiteratureRhymeLinguisticsPhilosophyArtEpistemologyPerception

Abstract

fetched live from OpenAlex

This article follows two branches of Tsur's cognitive poetic theory to their logical conclusion and applies them to Fitzgerald's Rubaiyat of Omar Khayyam where they are fully validated. The first branch emphasizes the expressiveness of speech sounds (phonemes) and the second branch the importance of the Gestalt principle of closure to poetry. Rubaiyat were phonetically transcribed and their phonemes were then categorized in terms of emotional character. The closural device of a return to baseline described the preferential use of active phonemes in the rubaiyat while the closural allusion of definitive termination described the preferential use of pleasant phonemes. Clynes' concept of the essentic form for grief was used to explain the rise and fall of preferential activation in the first three lines of each quatrain. The emotional picture drawn of the rubaiyat on the basis of these procedures was one of fatalism or emotional resignation. General patterns and individual examples are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.322

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 communication0.0000.000
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 head0.059
GPT teacher head0.300
Teacher spread0.241 · 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