Kîyokêwin (Visiting), leadership, and consenting to learn in public: indigenizing social sciences and humanities at the Royal Military College of Canada
Bibliographic record
Abstract
Espousing Indigenous Research Methods including Kîyokêwin/Visiting, beadwork as an embodied pedagogical and research practice, and storytelling, this article explores the authors’ experiences working in senior academic leadership positions to support indigenization at the Royal Military College of Canada. The authors consent to learn in public and discuss opportunities for role-modeling individual leadership in institutional contexts and for building small ‘safe enough’ spaces that generate energy and momentum that have the possibility of supporting broader-scale indigenization efforts. The authors understand the call to indigenize education as a non-negotiable imperative, and argue that it is an ethical responsibility for all who live in Canada to engage intentionally in concrete acts of reconciliation – in (re)building relationships with Indigenous Peoples.
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 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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.062 | 0.060 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".