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Record W7057810650

«Lelio d'Isabella figlio». La ‘prima donna’ di Giovan Battista Andreini

2017· article· it· W7057810650 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Padua Archive (University of Padua) · 2017
Typearticle
Languageit
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsOperaPopulationTranshumanism
DOInot available

Abstract

fetched live from OpenAlex

Sulla scia di alcuni spunti offerti da un intervento di Rosalind Kerr (Toronto 2015) e da un saggio di Pier Mario Vescovo, si approfondirà il legame tra la celeberrima ‘diva’ Isabella Andreini (1562-1604) e il figlio Giovan Battista, «scenico professor» (1576 ca.-1654): non soltanto in termini di biografia, come relazione di sangue e di vita, ma soprattutto rispetto alla produzione di entrambi. Giovan Battista Andreini consacra esplicitamente alla madre molti dei suoi scritti, teorici e letterari: ai suoi occhi Isabella rappresenta l'incarnazione dell'alta professionalità anche letteraria propria del mestiere teatrale, comico ma non solo; professionalità che il figlio per tutta la vita si impegnerà a riscattare dalle accuse di immoralità. Tuttavia l'importanza dell'influsso materno si può riscontrare anche in tratti più impliciti dell'attività di Giovan Battista Andreini: non per niente la prima — e fortunatissima — delle prove letterarie a stampa di Isabella, la pastorale ‘Mirtilla’ (1588), dipinge in chiusura lo scenario con cui si aprirà il prologo dell'‘Ismenia’, «opera reale e pastorale», l'ultima opera teatrale importante di Giovan Battista Andreini destinata ai torchi, ricapitolativa delle sue strategie drammaturgiche (1639).

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)0.009
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0910.040

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 head0.048
GPT teacher head0.316
Teacher spread0.267 · 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
Published2017
Admission routes1
Has abstractyes

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