Noble Savage/Indigène sauvage: Staging First Nations in Early Canadian opera
Bibliographic record
Abstract
This research engages the ways composers and librettists in early Canada constructed the roles of First Nations Peoples in two staged dramatic musical works: Clappé and Dixon's Canada's Welcome from 1879 and Vézina, Villandray and Fleur's Le fétiche from 1912. My exploration begins from a desire to cultivate an historiography of First Nations musical archetypes that extends beyond viewing representations as stereotypes to explore how they are used intertextually to reflect social and political realities in early Canada. The extent of play with indigenous traditions in each of these works belies their creators’ intentions to underscore contemporary beliefs in the civilizing power of colonization. And while Clappé and Dixon's work might now be interesting primarily as upper class entertainment, Vézina, Villandray and Fleur's exemplifies the evolution of Canadian culture through a more complex use of intertextual relationships. In Canada's Welcome, Clappé reserves his most nuanced musical representations for the European immigrants on stage; Vézina performs similar homogenizing musical acts but contrasts the French in grand operatic expression and the Iroquois with more extensive use of stereotypical markers to create distinctions within his Western art music setting. The most overt expressions of Otherness in these works are therefore largely carried by the texts, mediated through their encoding of the tropes of the fairness and acceptance of a tolerant civilization.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.028 | 0.013 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".