Bibliographic record
Abstract
Sixty years after its inception, schooling in the eastern Arctic remains predominantly based on Euro-Canadian values, curricula and pedagogy, and privileging English over Inuit languages. Many studies have linked this model of schooling to poor academic achievement and assault on Inuit culture, and many Inuit have for decades indicated that they want schooling to reflect Inuit culture. In this article I argue that Eurocentrism continues to slow the pace of educational change in Nunavut, despite the supportive proclamations and good intentions of White teachers and bureaucrats. Based on fieldwork in one Nunavut community and on observations as a teacher and visitor in Arctic areas, I present examples of individual Eurocentrism, Eurocentrism embedded in the educational system, and pan-Canadian Eurocentrism that create roadblocks to school change in Nunavut. I also suggest some ways to challenge the roadblocks. As Inuit continue to press for schools based on Inuit priorities Euro-Canadians should act as allies. To this end, Euro-Canadians need to acknowledge and challenge Eurocentrism.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".