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Record W7006330202

Una variazione sul tema dell’«abominoso ordigno». L’assedio di Ostenda nella "Bradamante gelosa" di Alessandro Guarini

2024· article· it· W7006330202 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Padua Archive (University of Padua) · 2024
Typearticle
Languageit
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMiddle AgesQuarter (Canadian coin)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

Nell’episodio che apre l’Atto IV della Bradamante gelosa di Alessandro Guarini – una tragedia a lieto fine rappresentata a Ferrara nel 1616 e rimasta inedita – il soldato Alcasto (già «Anselmo di Liguria») propone ad Agramante, trincerato ad Arles, di spezzare l’assedio posto da Carlo Magno con una potente mina. L’episodio, finora mai considerato dalla critica, apre una finestra sull’arte della guerra contemporanea all’autore e rielabora lungo i suoi 171 versi un particolare momento dell’assedio di Ostenda (1601-1604), episodio rilevante della Guerra degli Ottant’anni, di cui Guarini fu testimone: l’espediente delle mine introdotte sotto le mura per ordine del generale genovese Ambrogio Spinola. Il presente contributo, oltre a individuare il ricorso storico soggiacente al testo, studia i modi attraverso cui l’autore lo trasporta in letteratura: la comparsa della storia contemporanea nella favola tragica passa per una riappropriazione del modello ariostesco del canto IX, grazie al quale l’autore sviluppa una condanna dell’«abominoso ordigno» e dei moderni mezzi di conduzione della guerra, considerati diabolici.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.543
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.096
GPT teacher head0.305
Teacher spread0.208 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

Explore more

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