Thematic Analysis of Indigenous Students’ Experiences with Indigenization at a Canadian Post-secondary Institution: Paradoxes, Potential, and Moving Forward Together
Bibliographic record
Abstract
Indigenization is a relatively new phenomenon in Canada. It is a broad concept that includes everything from changing physical spaces to challenging Western epistemologies and the status quo. In this study, I describe nine Indigenous students’ experiences with Indigenization at the University of Saskatchewan. Students were impacted both positively and negatively by their engagement: They described both opportunities borne of engagement with Indigenization and detriments such as exhaustion and lack of basic needs. In terms of methods to Indigenize, the participants described the importance of representation, centring Indigenous values and knowledges, and creating communities that can Indigenize. I end the paper with four policy recommendations for post-secondary institutions interested in Indigenization.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.024 | 0.016 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".