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Record W2048208369 · doi:10.1163/156852508x361127

Emending Aratus' Insomnia: Callimachus Epigr. 27

2008· article· en· W2048208369 on OpenAlexaff
Selina Stewart

Bibliographic record

VenueMnemosyne · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInterpretation (philosophy)PraisePhilosophyLiteratureLinguisticsArt

Abstract

fetched live from OpenAlex

Abstract Callimachus' epigram Epigr. 27 Pf. (= AP 9.507, Gow-Page 56) in praise of Aratus is notoriously difficult of interpretation, but it is hoped that a new emendation and interpretation of the fourth line will resolve some of the difficulties, as well as lead us to a new interpretation of Meleager's reference to Aratus in AP 4.1. After discussion of the merits of manuscript readings and previous emendations of Epigr. 27, an emendation of a single letter in the penultimate word is proposed and supported by arguments based on scholia and citations from pre- and post-Callimachean texts, including Aratus' Phaenomena, the subject of the epigram in question. Finally it is argued that a dialectal jeu d'esprit based on Aratus' name in the second line of the Phaenomena is also present in Epigr. 27.4 and echoed by Meleager in AP 4.1.49.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.066
GPT teacher head0.327
Teacher spread0.262 · 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

Citations7
Published2008
Admission routes1
Has abstractyes

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