MétaCan
Menu
Back to cohort
Record W4376107618 · doi:10.1515/9783110719185-002

Aristophanes’ Readers and Translators in 15th-Century Italy: The Latin Plutus of MS Matrit. Gr. 4697

2023· book-chapter· en· W4376107618 on OpenAlexaboutno aff
Micol Muttini

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansQuarter (Canadian coin)LiteratureLatin literatureHumanismClassicsHistoryArtPhilosophyLinguisticsTheologyArchaeology

Abstract

fetched live from OpenAlex

This study will focus on an unedited and little-known Latin version of Aristophanes' Plutus, which is preserved in the manuscript Matrit. gr. 4697 at the National Library of Spain. It is a paper codex, which dates back to the last quarter of the 15th century and was copied by the Italian humanist Lodovico da Poppi. The Greek text of the Plutus is accompanied by an interlinear translation into Latin, almost unknown until now. This hitherto neglected codex is especially interesting because of the Latin version it contains, since it appears to be amongst the first ever made of Aristophanes' Plutus. In this chapter, I will examine and discuss the various translational strategies employed by Lodovico to move Aristophanes' 4th-century Greek text to a 15th-century Latin-reading community. The analysis ultimately sheds light on the history of the transmission of Aristophanes' text and the scholarly activities around during this period.

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)0.002
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.008
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.031
GPT teacher head0.213
Teacher spread0.182 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicLinguistics and language evolutionFrench-language works237,207