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Record W4319081376 · doi:10.1017/s1752196322000402

Against the Grain Theatre's<i>Messiah/Complex</i>and Indigenous Sovereignty

2023· article· en· W4319081376 on OpenAlexaffabout
Nina Penner

Bibliographic record

VenueJournal of the Society for American Music · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsMessiahIndigenousSovereigntyColonialismPower (physics)SociologyRacismVisual artsMedia studiesAestheticsLawHistoryGender studiesPolitical scienceArtPoliticsArchaeology

Abstract

fetched live from OpenAlex

Abstract The COVID-19 pandemic and the intensification of IBPOC (Indigenous, Black, and People of Color) activism during this time have prompted many in the classical music industry to pause and reflect on the ways in which we perpetuate colonialism and racism in our leadership and governance structures, programming, casting practices, performance practices, and treatment of IBPOC artists. This article focuses on Messiah/Complex (2020) by Toronto's Against the Grain Theatre (AtG). All soloists were Indigenous or people of color. Based on conversations with several Indigenous artists involved in this project, this article argues that we need to move from thinking about how to include more Indigenous artists to thinking about how we can create space for Indigenous sovereignty. That is going to involve giving over decision-making power to Indigenous artists at all levels. Messiah/Complex could have made a more decisive move toward sovereignty if it had begun with conversations with IBPOC artists about what they want to say at this moment. The performers should have been able to decide not only what language to perform in but also whether they want to perform Handel's music at all, who they want to collaborate with, and how they want to work together.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.244
Teacher spread0.211 · 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
Published2023
Admission routes2
Has abstractyes

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