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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 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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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