DECOLONIZING MI'KMAW EDUCATION THROUGH CULTURAL PRACTICAL KNOWLEDGE
Bibliographic record
Abstract
ABSTRACT. This article shares the stories of three Mi'kmaw teachers who are bringing their Aboriginal cultural practical knowledge into the school landscape through pedagogy and relationality, as they work towards the decolonization of their education system. Our notion of cultural practical knowledge relates to Connelly & Clandinin's personal practical knowledge. It is connected to the Mi'kmaw stories these teachers and their students construct and re-construct together as they work towards understanding and supporting the needs of students through applying teachers' own cultural practical knowledge. DECOLONISATION DE L'EDUCATION MI'KMAQ PAR LA CONNAISSANCE PRATIQUE CUlTURELLE RESUME. Cet article relate l'histoire de trois professeurs mi'kmaw qui mettent a contribution leurs connaissances pratiques culturelles autochtones dans le paysage scolaire par la pedagogie et la relationalite, tandis qu'ils s'evertuent a decoloniser leur systeme d'education. Notre notion de la connaissance pratique culturelle se rapporte a la connaissance pratique personnelle de Connelly et Clandinin. Elle est liee aux recits mi'kmaw que ces enseignants et leurs eleves construisent et reconstruisent ensemble afin de comprendre et de repondre aux besoins des eleves grâce a l'application des connaissances pratiques culturelles des enseignants.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.015 |
| 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".