Nature’s way-our way: A journey through the co-creation and sharing of an Indigenous physical literacy enriched early years initiative
Bibliographic record
Abstract
Early years are a critical time in the healthy development of young children. It is essential for children to develop healthy bonds with family members to increase well-being. Colonialism has resulted in the loss of many Indigenous activities, intergenerational teachings and relationship-building strategies that encourage wholistic health-promoting behaviours. Research focused on physical activity behaviours among early years children has had limited success. To address these challenges, the Western concept of physical literacy that applies a wholistic approach to physical activity by focusing on physical, social, emotional, and spiritual wellness can align with many Indigenous Ways of Knowing, Being and Doing. Purpose: Our multi-cultural team embarks on a journey to co-create, and expand a physical literacy enriched and culturally rooted initiative designed to promote wholistic wellness. Methodology: Etuaptmumk (Two-eyed Seeing) guides the team through braiding Indigenous Ways of Knowing,Being and Doing in early childhood wellness and land- and nature-based games alongside Western knowledge of developing physical literacy and promoting risky/ adventurous play. We apply a pre-mid-post design for the meaningful evaluation of the Nature’s Way-Our Way initiative. Impact: Partnering with communities, we aim to produce 40-45 activity cards to promote physical literacy and wholistic health in Indigenous and non-Indigenous communities.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".