"Know When to Hold 'em, Know When to Fold 'em": Navigating the more-than-dual roles of Indigenous leadership in post-secondary colonial institutions
Bibliographic record
Abstract
This work examines the characteristics of Indigenous leaders and the situational contexts in which they work that enable them to effect institutional change in the Canadian public post-secondary education environment. Drawing on my own work and interviews with Indigenous leaders in mainstream insitutions, this research examines topics of culture, identity, teachings, maintaining balance, racism, challenges and opportunities, and success. Knowledge gathered through the interviews revealed themes, highlights and caveats that offer important considerations for Indigenous people who are contemplating taking on leadership positions in post-secondary institutions. Wise practices and ways forward are posited in two areas: 1) self-care and self-preservation – being well so that we can do well; and 2) considerations for non-Indigenous students, staff and faculty in supporting their Indigenous counterparts and in engaging in the important work of decolonizing and Indigenizing post-secondary 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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".