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Record W2270842737 · doi:10.33137/q.i..v36i1.26276

How the <i>Commedia dell’Arte</i> Actress Revolutionized the Early Modern Italian Stage

2016· article· en· W2270842737 on OpenAlexvenueno aff
Rosalind Kerr

Bibliographic record

VenueQuaderni d italianistica · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsAppealPrivilege (computing)Representation (politics)NegotiationArtStage (stratigraphy)Gender studiesLiteratureHistoryVisual artsHumanitiesSociologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

The first actresses who joined the previously all-male the commedia dell’Arte in the 1560s are credited with making it a commercial and artistic success. This article explores the evidence to document their multi-faceted contribution and influence on the birth of early modern European theatre. My article will use Tommaso Garzoni’s prophetic observations about certain early actresses to frame an inquiry into how their novel female presence changed the nature of theatrical representation to create a new more “realistic” medium. It will interpret the documents to reveal how they achieved celebrity status through the great personal appeal and technical mastery they exhibited. It was through this winning combination that they were empowered to create unforgettable female characters who became part of the western dramatic canon. In addition to showing how successfully the Italian actresses challenged masculine privilege in their famous transvestite performances, I will show how their iconic influence travelled not only across the continent but also to England, even though actresses remained excluded from the professional stage there. Inevitably their presence on the western stage provided examples of female characters negotiating their sex/gender identities and thus modeled such behaviours for women in the larger society.

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)0.002
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 score0.013
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.011
Scholarly communication0.0060.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.036
GPT teacher head0.287
Teacher spread0.251 · 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
Published2016
Admission routes1
Has abstractyes

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