Multicultural identity negotiation in recent Canadian mixed-blood narratives : Boyden's Three Day Road
Bibliographic record
Abstract
Using the example of Joseph Boyden's Three Day Road (2005), this paper addresses the "broken taboos and uncomfortable truths" of mixed blood identity in Contemporary Métis writing. I explore identity negotiation and the radical textual undoing of ethnic identity concepts (including stereotypes) reflected in Métis Canadian and US Southwestern Nuevomexicano/a writing and visual arts. Here I present how interracial understanding is challenged by mixed heritage authors and what Boyden's protagonists' identity negotiations in the shifting sites of identity formulation ("journey") are like. I study the fluctuation between more social identities, ethnic choice and specifically the possibilities for escaping prescribed identity formulations and reconnecting with tribal heritage that manifests the clashing western and Indigenous cosmologies and tackles the problems of ethnic pride, shame and stigma.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.059 | 0.022 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".