Etuaptmumk: the Indigenous Principle of Two-Eyed Seeing as a Remedy for Administrator Resistance in Developing Sovereignty-Affirming Equity Leadership Competencies
Bibliographic record
Abstract
School leadership is a critical factor in disrupting systemic oppression and ensuring the achievement and well-being of all students. In Ontario, school administrators are charged with setting an equity agenda to foster safe and equitable learning conditions for all students. This PoP seeks to improve administrators’ mindsets on leading equitable schools, and this organizational improvement plan (OIP) leverages the principles of two-eyed seeing (2ES) to braid together the servant, appreciative, and transformative leadership styles which, stronger together, support sustainable solutions for change. A braided integrated approach of the medicine wheel, the Knoster model for managing complex change, and the appreciative inquiry (AI) model based on the prescribed 4 Ds of Discovery, Dream, Design and Destiny will also guide the organizational change process outlined herein. The parallels between these processes, in addition to their iterative and cyclical natures, ensures the alignment of each interconnected element to move forward in a good way. The integrated braided approach supports the parties most impacted by organizational change to co-construct their own knowledge and carve a sustainable path toward equitable leadership.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".