Two-Eyed Seeing to Support Indigenous Education
Bibliographic record
Abstract
In 2015, the Truth and Reconciliation Commission of Canada released its 94 ‘calls to action’ to address the atrocities of residential schools, while providing guidance to support reconciliation. Education was identified as one area where reform is necessary. Within the Nikosis Public School Division (NPSD) (a pseudonym), Indigenous students experience significantly lower academic results than their non-Indigenous peers. The colonized approach to education founded heavily on Eurocentric ideology lacks cultural connections that relate to Indigenous students. This Organizational Improvement Plan (OIP) will focus on Buffalo Elementary (a pseudonym) and look to support stronger cultural connections as a method to provide a more welcoming and engaging environment. This idea is based on the premise that if students feel more welcome and accepted, then there is a greater opportunity to thrive academically. This OIP will look to increase Indigenous Knowledges and culture within the school so it is valued alongside the Westernized perspective. A critical social justice lens will be used as a framework given its foundations in supporting marginalized and oppressed populations to work toward more equitable solutions. The change leader will draw from authentic and culturally responsive leadership approaches to strengthen relationships between the school and the Indigenous community as this relationship will be critical. The intent of the OIP is to eradicate the achievement gap at Buffalo Elementary that currently exists between Indigenous and non-Indigenous students with the goal of implementing successful practices into other schools in the division.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
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".