Stories from the Margins: Toward a More Inclusive British Columbia Historiography
Bibliographic record
Abstract
Drawing on the oral narratives of Okanagan storyteller Harry Robinson (1900–1990), this article challenges historians, folklorists, and others to consider how the early Boasian ethnographic archive has shaped our understanding of Aboriginal historical consciousness. At every turn, Robinson challenges the archive's fixation on a static Golden Age Past. Robinson's Coyote, for example, is important not for what he represents in the deep past, but for his fluid relationships with non-Aboriginal peoples from the beginning of time to the present. Taking its lead from scholars such as Charles Briggs and Richard Bauman, the article argues for the need to refocus attention on Aboriginal interpretations of the recent past, paying close attention to what ethnographic discourse has excluded and why. It concludes that what we have inherited from the Boasian archive may reveal more about dominant discourses of imperial accommodation and material power than about the living Aboriginal discourses of its times.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.025 | 0.020 |
| Scholarly communication | 0.023 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".