Indigenous Education Models for Contemporary Practice: In Our Mother's Voice by Maenette Каре 'ahiokalani Padeken Ah Nee-Benham and Joanne Elizabeth Cooper (Eds.)
Bibliographic record
Abstract
In Our Mother's Voice by Maenette Каре 'ahiokalani Padeken Ah Nee-Benham and Joanne Elizabeth Cooper is a unique and exciting approach to addressing the important question of what philosophy should drive education for Aboriginal peoples.The authors contest the main premises of the Western model of education by developing an educational vision that is rooted in, and supportive of, In digenous ways of knowing.The book emerged from a gathering at Sol у Sombra in Santa Fe, New Mexico, that brought together a select group of 14 Indigenous educators from New Zealand, Australia, Canada, and the United States who have been recognized as leaders in their own communities for their work in establishing innovative responses to educational challenges.The book explores these individuals' community and/or tribal perspectives on educa tion and attempts to situate them in a pan-Aboriginal series of principles.For this the book's authors are to be commended.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.008 | 0.011 |
| 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".