A collaborative approach to develop indigenous specific parenting education
Bibliographic record
Abstract
Abstract Discrimination against Indigenous peoples is ongoing and perpetuated by systemic structures such as Eurocentric educational systems that often require learners to suppress their Indigeneity and conform to the dominant culture. Previous attempts at incorporating Indigenous cultures and values into education have often perpetuated harmful and negative stereotypes to the detriment of Indigenous learners. Parenting education courses for separating or divorcing parents are designed to support emotional wellbeing and promote positive co‐parenting relationships. While it is widely known that Indigenous worldviews vary from Western worldviews, there is little research on parenting education courses for Indigenous families and few culturally responsive programs designed for non‐dominant cultures or offered in other languages. Walking in two worlds is a reality for Indigenous peoples; needing to conform to the dominant systems in society while also honoring their teachings and ways of being. This article describes how a parenting education course for Indigenous families was created by employing the principle of collaboration with full involvement of all participants resulting in a course that bridges the gap between two different worldviews.
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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 | 0.020 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".