Teaching and Learning Indigenous Philosophy in Viral Times in advance
Bibliographic record
Abstract
The authors of this essay challenge the notion that “philosophy” is irredeemably Eurocentric by providing a series of personal, professional, and pedagogical reflections on their experience in a new graduate seminar on “Indigenous philosophy.” The authors—a graduate student, professor, and Indigenous course-facilitator—share in the fashion of “Indigenous storywork,” as outlined by Stó:lō pedagogue Jo-Ann Archibald. We begin with the instructor and how he was personally challenged to re-evaluate his roots and philosophical praxis in spite of his experience teaching over several decades. The second section describes a student experience and how they measured the exigencies of decolonization against the esteem that their family holds for Canada’s brand of multiculturalism. Finally, we turn to the Indigenous seminar facilitator and his skepticism over whether the course truly constituted decolonized, or “landed,” pedagogy. Throughout, the authors ask about the demands of decolonization and how philosophical pedagogy may center Indigenous futurity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".