Workers united: a non-assimilatory approach to Indigenous leadership in higher education
Bibliographic record
Abstract
Indigenous leaders in higher education are restive, disaffected, and dissatisfied with the slow gyrations of change. Using Interest Convergence Theory, this paper will unravel the constraints inherent in institutional reform that delimit the influence of Indigenous senior leaders in the sector. Positioned amidst the burgeoning impact of neoliberalism, an architecture of colonial governance models, and systemic resistance to change, Indigenous leaders are affecting reform. By providing examples of reform-driven agential actions shouldered by senior Indigenous leaders across Canada, Aotearoa, America and Australia, this paper, underpinned by relationality, details how Indigenous leaders are engaging with Indigenous Institutional work and Entrepreneurship, speaking back to interest-driven institutional policies and practices in the sector with a pronounced focus on nation building. Drawn from an international, comprehensive qualitative study, we investigate how Indigenous leaders in higher education are disrupting systemic racism to promote equity and justice within higher education amid macro-level resistance to change.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".