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Record W4310726260 · doi:10.33137/q.i..v42i2.39695

“Specchio hor di Lucifero, hor di Cristo”: Giovan Battista Andreini’s Mary Magdalene and the Debate on Professional Theatre

2022· article· en· W4310726260 on OpenAlexvenueno aff
Serena Laiena

Bibliographic record

VenueQuaderni d italianistica · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtCriticismMoralityLiteraturePhilosophyEpistemology

Abstract

fetched live from OpenAlex

Between 1610 and 1652, the professional actor and playwright Giovan Battista Andreini (1576–1654) published six works on the figure of Mary Magdalene. This essay proposes a reading of this corpus of works as a singular attempt by a professional actor to recast his own image by actively engaging with Counter- Reformation thought. At the same time, it deconstructs Andreini’s patent compliance with Tridentine ideals and reveals that a subtle criticism, expediently hidden by the author, lies at the core of these works. In this corpus, Andreini points out the paradox inherent to the oxymoronic perception of professional performers in early modern Italy, especially actresses, who were considered diabolic by some, divine by others. He therefore censures the relativity in assessing their morality.

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)0.003
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 score0.010
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.020
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.245
Teacher spread0.214 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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