A Phonological Metrical Investigation of Two of Ezra Pound and Bruce Ross’s Haiku Poems with Reference to Hayes's (1995) Parametric Metical Theory
Bibliographic record
Abstract
Since its emergence in 1970 up to the present time with its different versions, metrical theory has been used and applied to different texts in different languages. However, Bruce Hayes's parametric metrical theory has been proved to be universal through its application to the word and phrasal levels of many languages. By the metrical grids and a number of principles and parameters of this theory, the rhythmic pattern of stressed syllables, feet, words, and phrases can be demonstrated. The present study aims at answering the question of whether the parametric metrical theory can be applied to show the rhythmic structure of haiku poems. A haiku is a poem that descends from the Japanese poetry with three lines in 5-7-5- syllables respectively and mostly talks about a moment in nature. Many of the English poets started to write poems in a traditional haiku form. Some others, however, made some modifications with different numbers of lines and/or syllables. This study analyzes four haiku poems according to the parametric metrical theory, two of which are written by the American poet Ezra Pound in a modified haiku form, and the other two are written by the Canadian American poet Bruce Ross in the traditional form. To sum up, the theory proved its applicability in showing how the horizontal rhythm of the haiku lines can be demonstrated through the metrical grids via the stress alternation in each line and by the application of some metrical rules.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".