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Record W2070527536 · doi:10.3406/reg.2008.7891

Les Erotica pathémata de Parthénios de Nicée : des esquisses de poétique accentuelle signées d'acrostiches numériques

2008· article· en· W2070527536 on OpenAlexaff
Michèle Biraud

Bibliographic record

VenueRevue des Études Grecques · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsRhythmRepetition (rhetorical device)PoetryStress (linguistics)ArtLinguisticsSign (mathematics)LiteratureMathematicsPhilosophy

Abstract

fetched live from OpenAlex

The Erotica pathemata are not only an erudite compilation in prose, they are a poetic collection. Parthenius makes use of new rhythmic features of the language of his epoch : the evolution of the Greek language has replaced a quantitative rhythm, based on the length of syllables, by an accentual rhythm, based on the repetition of an accent of stressed words. With various ways, Parthenius tests the association of the following poetic devices : equality of number of accentuated syllables between cola or stanzas, repetition of the same accentuated clausula (with a ring-composition or in alternation), equal number of syllables in the corresponding stanzas or cola, assonances at the end of cola. Numerical acrostichs at the beginning or at the end of several texts guarantee the actuality of the segmentation in cola and the pertinence of the rhythmic features that have been discovered.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.008
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.122
GPT teacher head0.277
Teacher spread0.155 · 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 designNot applicable
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

Citations4
Published2008
Admission routes1
Has abstractyes

Explore more

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