Against the Grain Theatre's<i>Messiah/Complex</i>and Indigenous Sovereignty
Bibliographic record
Abstract
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 onMessiah/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/Complexcould 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".