MétaCan
Menu
Back to cohort
Record W4409989672 · doi:10.33137/q.i..v45i1.45227

Some Remarks on the Musical Lexicon of Dante’s Commedia

2025· article· en· W4409989672 on OpenAlexvenueno aff
Antonio Calvia

Bibliographic record

VenueQuaderni d italianistica · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLexiconMusicalArtLinguisticsLiteraturePhilosophy

Abstract

fetched live from OpenAlex

This essay examines four verbs from Dante’s Commedia that relate to music. Sections 2 and 3 discuss alleluiando and osannar, respectively. Section 4 considers the verb inneggiar—regarded, until Giorgio Inglese’s 2021 edition, as a corrupt reading of inveggiar—and argues that its similarity to the previously discussed denominal verbs, alleluiare and osannare, further supports inneggiar as the original lectio. Section 5 explores the meaning of alternando, a term with distinct, if not immediately obvious, musical resonance. As an introduction to the subject matter, section 1 provides an overview of the Commedia’s musical lexicon.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.015
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0050.010
Scholarly communication0.0090.008
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.050
GPT teacher head0.268
Teacher spread0.218 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueQuaderni d italianisticaSame topicRenaissance and Early Modern StudiesFrench-language works237,207