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Record W4313403858 · doi:10.36253/dramma-14132

«Non ho scritto una tragedia, ma un drama per le scene di Venezia»: i libretti di Adriano Morselli per il San Giovanni Grisostomo (1688-1692)

2022· article· en· W4313403858 on OpenAlexaboutno aff
Nicola Badolato

Bibliographic record

VenueDrammaturgia · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOperaDramaArtPoetryTopos theoryArt historyHumanitiesQuarter (Canadian coin)LiteratureHistoryArchaeology

Abstract

fetched live from OpenAlex

This paper examines a series of drammi per musica written by Adriano Morselli during the last years of his own career as librettist for the Teatro di S. Giovanni Grisostomo in Venice: Amulio e Numitore (1689), Pirro e Demetrio (1690) and L’incoronazione di Serse (1691), with music by Giuseppe Felice Tosi; La pace fra Tolomeo e Seleuco (1691) and L’Ibraim sultano (1692), with music by Carlo Francesco Pollarolo. Investigating a series of topoi and dramaturgical devices that place this works in the wake of the writing conventions of late seventeenth-century Venetian opera, the paper takes into consideration the dramatic models employed by the poet, with their direct influences from the classical French theatre. This allows us to consider Morselli’s libretti as an example of a poetic trend, only partially studied by theatrologists and musicologists, which flourished in Venetian opera during the last quarter of the 17th century.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.216
Teacher spread0.198 · 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
Published2022
Admission routes1
Has abstractyes

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