Discovering connections: mindfulness curriculum and Dene culture for Indigenous and northern Canadian children and youth
Bibliographic record
Abstract
This paper explores the self-study research question, How can an exploration of Dene cultural teachings and my experiences in a NWT classroom inform the development of a culturally appropriate mindfulness curriculum? The study focuses on finding culturally appropriate mental health and wellness strategies for students in Northern Indigenous locations. This study involved integration of five main sources - the Mindful Schools curriculum, personal journal reflections of my teaching practice, personal experiences, literature, and the published voices of Elders. The methodology for this study included teaching a mindfulness curriculum to three elementary classes and three middle school classes, exploring the literature for Dene teachings and knowledge, and finding connections between twelve main topics in the mindfulness curriculum and Dene knowledge. Three common connections found between the fourteen themes include the importance of on the land experiences, connection to others by building and maintaining healthy relationships, and self-awareness to help students develop understanding of themselves, self-confidence, self-efficacy, and how they can be a capable person. School based barriers include the general lack of inclusion of culture and language in most subject areas, support for teachers, and cultural bias and perspectives of school leaders and teachers. Recommendations to remove barriers, as well as to ensure cultural sensitivity and accuracy require Elder presence in the schools, and collaboration with community.
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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 | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".