Reflections on Reconciliation from Non-Indigenous Teachers in Northern Post-Secondary Learning
Bibliographic record
Abstract
With a recognition that reconciliation within post-secondary education in Canada requires both decolonization—deconstructing structures and practices that privilege Eurocentric world views—and Indigenization—elevating Indigenous Knowledges and participation—this study explored how seven non-Indigenous post-secondary instructors in the Yukon are interpreting these concepts through their teaching practices. Applying a thematic analysis to semi-structured interviews revealed a number of pedagogies that flow first and foremost from the respondents’ understandings of personal identity and positionality. The pedagogies described in this study include a decolonized spirit of learning, physical learning environment, the ability to create and hold space, welcoming the whole student, and collaboration/relationality. By connecting to a review of Indigenous scholarship, these pedagogies (and missing pieces) were further examined, with a look toward perceived challenges in this work and potential sites of action.
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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 | 0.021 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".