A Seventh fire spark preparing the seventh generation : what are the education related needs and concerns of students from Rainy River First Nations
Bibliographic record
Abstract
This study examines factors that impact high school completion for Rainy River First Nations students living on-reserve in the Manitou Rapids community in Ontario. Utilizing traditional community knowledge as a guiding framework and a qualitative inquiry guided by Indigenous research ethics and Anishinaabe protocols, open-ended interviews were conducted with three key informants and six young people who resided on-reserve during schooling years to discuss their educational experiences, needs and concerns. Based on these interviews, this study brings First Nations student voices and experiences to the forefront to show that on-reserve First Nations high school completion is influenced by significant challenges that are related to the trauma and history of colonization in Canada. F orrner students discussed concerns and challenges in the intertwined areas of the school, family, community, and culture . The research reflections reported in this study prompted the development of a framework for a partnership model of educational support which incorporates the Anishinaabe Seven Grandfather Teachings.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".