Editorial: Indigenous Teacher Education and Teacher Education for Indigenous Education
Bibliographic record
Abstract
National studies and policy statements continue to recommend an increase to the numbers of Indigenous teachers, establishment of Indigenous teacher education programs, and preparation of non-Indigenous teachers to address Indigenous education in more effective ways, through instruction and parental/community engagement, according to the 1972 IndianControl of Indian Education: Policy Paper (National Indian Brotherhood), the 1996 Royal Commission on Aboriginal Peoples (Minister of Supply and Services); and the 2010 Accord on Indigenous Education (Association of Canadian Deans of Education).Over the past 40 years and more, Indigenous teacher education programs have been established in universities across Canada but very little exists in the literature about these important programs and their innovations, challenges, and impact. Teacher education programs have begun to include required Indigenous education courses for all teacher candidates and new courses or approaches about Indigenous education based on Indigenous knowledge systems. We need to know more about how these courses are being received and what impact they have on teacher candidates.
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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 | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.023 | 0.024 |
| Insufficient payload (model declined to judge) | 0.023 | 0.015 |
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".