First Nations Authority of First Nations Education in the Yukon: A Path Forward
Bibliographic record
Abstract
As Yukon First Nations prepare to regain authority over education, there is greater opportunity for individual First Nations to collaborate and create a unified approach to education. While each First Nation has their own vision and approach to education that must be honoured, there are also similarities. The purpose of this research is to present these similarities to create a unified, holistic approach moving forward. This research fits within an Indigenous research methodology, meaning it supports relational accountability, benefits the local community, and honours Indigenous Knowledge. Through a review of Indigenous education pedagogy and three case studies of Indigenous communities throughout Canada who have authority over education, four common themes for a First Nations education system emerged: culturally based, culturally relevant, culturally responsive, and locally controlled. These themes remained consistent with the results from the in-depth semi-structures interviews with representative from several Yukon First Nations. By creating a First Nations education system that reflects these common themes, a holistic approach to education can be developed that meets the needs of each Yukon First Nation. Opportunities for collaboration and unity will encourage Yukon First Nations to share resources and capacity, learn from each other, and create a stronger voice, benefiting all Yukon First Nations as they move forward. Yukon First Nations can create a clear path forward as they take this step toward regaining authority of First Nations education.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".