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Record W2144820084 · doi:10.5508/jhs.2004.v5.a8

Geminate Ballast and Clustering: An Unrecognized Literary Feature in Ancient Semitic Poetry

2005· article· en· W2144820084 on OpenAlexvenueno aff
Scott B. Noegel

Bibliographic record

VenueJournal of Hebrew Scriptures · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Linguistics, Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPolysemyAlliterationLinguisticsSection (typography)Context (archaeology)Meaning (existential)HistorySubject (documents)LiteraturePoetryRhymeComputer sciencePsychologyArtPhilosophy

Abstract

fetched live from OpenAlex

This study offers a comprehensive treatment of the subject of “word play” in the book of Qoheleth. After discussing the problematic nature of the term “word play,” and explaining my preference for the word “punning,” I examine six different types of punning found in Qoheleth. The first, focuses on alliteration, or the repeated use of consonants. The second section collects examples of assonance, or the repeated use of vowel patterns. The third section focuses on illustrations of polysemy; cases in which words bear more than one meaning in a single context. The fourth section, which is related to polysemy, details cases of antanaclasis. Antanaclasis occurs when a word is used multiple times, but with different meanings. In the fifth section, I provide examples of allusive punning, i.e., the use of words or forms that imply by way of similarity of sound another word that does not occur in the text. The sixth section is devoted to instances of numerical punning. After providing the data for each of these devices, I offer some general observations on punning in Qoheleth.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.014
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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