Bibliographic record
Abstract
Pierre Falcon is the earliest known Metis composer. Born in 1793 in Fort La Coude (Elbow Fort) in what is now west-central Manitoba, his adult life spanned the “Golden Years” (Shore 2001) of the western Metis nation. Known as the Bard of the Prairies, Falcon’s songs drew on events of local importance during this period, providing a means to remember and share Metis history, and to solidify a sense of Metis nationalism. Beginning in the late-1800s historians, novelists, folklorists, journalists, and musicians began turning their attention to Falcon, resulting in a strikingly large number of popular and academic references to his life and songs. While these references are varied, together they tell a story about the relationship between Canada and the Metis Nation. On the one hand, references to Falcon often draw from, and in fact help create, images of the Imaginary Indian (Francis 1992). Yet on the other hand, many references to Falcon erase his Indigeneity, or blend his Metis identity seamlessly into a Franco-Manitoban, or western Canadian identity. These seemingly contradictory representations, as I will argue in this paper, ultimately point to the ambiguous positioning of Metis people as Indigenous peoples, and speak to an obsession with mixed-ness that denies the Metis their full and authentic Indigeneity.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.145 | 0.034 |
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".