Co-developing culturally grounded early years programming with Indigenous communities
Bibliographic record
Abstract
Although early childhood programs designed for Indigenous children exist in Canada and elsewhere, there remains a need for program development and implementation to be sustainable, evidence-based, and foundationally grounded in (rather than peripherally inclusive of) Indigenous cultures and languages. Overall, little is known about how to develop sustainable, communitygrounded early childhood programs that address the structural inequities and health disparities that disproportionately impact Indigenous children and families. The purpose of this paper is to describe the development of a community-based prenatal to preschool initiative that centralizes Indigenous knowledge and cultural values. Through this paper, we describe the process of codeveloping the Early Years (EY) program in Maskwacis, Alberta. We provide a description of program partners, summarize existing programs used to shape the EY program model, and outline the program model. Finally, we discuss relevance to other communitybased initiatives across sectors, and learnings that are transferable to other community contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".