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Record W2103605642 · doi:10.1353/ltr.2012.0016

Half-Caste Actresses in Colonial Brazilian Opera Houses

2012· article· en· W2103605642 on OpenAlexaboutno aff
Rosana Marreco Brescia

Bibliographic record

VenueLatin American theatre review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education and Society
Canadian institutionsnot available
Fundersnot available
KeywordsOperaColonialismQuarter (Canadian coin)Queen (butterfly)ArtHistoryCasteHumanitiesEthnologyArt historyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

Operatic and theatrical historians in both Brazil and Portugal frequently mention that around the last quarter of the 18 th century, Queen Maria I forbade women to perform on public stages in Portugal. However, it seems that the impresarios and owners of opera houses in colonial Brazil were unaware of this prohibition, since I have found several references to actresses performing in many of the permanent theatres at the end of the 18 th century and the first decades of the 19 th century. The great majority of these actresses were half-caste women. The most remarkable example is the case of soprano Joaquina Lapinha, prima donna of the Opera Nova in Rio de Janeiro, and probably the only native Luso-American singer to perform in a European theatre in the 18 th century. This article considers the employment of actresses in the opera houses of São Paulo, Vila Rica, Rio de Janeiro, and Porto Alegre, showing how the impresarios of these public theatres managed to provide their companies with the necessary human resources.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.370
Teacher spread0.339 · 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 teacher head, not a consensus.

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
Published2012
Admission routes1
Has abstractyes

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