Developing culturally relevant assessment processes for First Nations early childhood development programs
Bibliographic record
Abstract
This research investigated the possibility of developing an assessment tool for First Nations Early Childhood Development services that is respectful of First Nations worldviews and therefore culturally relevant, valid, and reliable. The research explored the successes and challenges of implementing early childhood assessment tools based upon Western society’s worldview with First Nations children and established whether it would be realistic and desirable to create an assessment tool for First Nations child development. Through sharing circles, conversations, and stories, participants from the Māori people of New Zealand and First Nations early childhood educators in British Columbia provided insight for the need to develop an assessment tool based upon a First Nations worldview, including guidance and direction to develop the assessment tool. This research emphasizes the need to conduct research in partnership with Indigenous people and provides recommendations for best practices when social workers are working with Indigenous people.
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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 | 0.130 | 0.162 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.001 | 0.004 |
| 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".