Divided Alliances: A Discussion of Inuit Resilience in Post-Secondary Education
Bibliographic record
Abstract
Although the Inuit high school completion rate has been climbing, the same cannot be said for Inuit participation in post-secondary education in Canada. This paper seeks to move beyond the obvious physical, and financial barriers to explore the colonial biases present in post-secondary institutions as further and more enduring challenges to access for Inuit. Through conversations with 10 Inuit post-secondary participants, graduates, and leavers, seven critical factors emerged. Viewed from the perspective of Inuit Qaujimajatuqangit, these factors identified where institutions have continued to fail students. The hope here is to raise greater awareness of the unparalleled challenges Inuit must face when choosing to participate in post-secondary education not only in terms of leaving home, but also of negotiating culture and the worldviews of Southern colonial learning institutions.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.061 | 0.048 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.005 | 0.010 |
| 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".