Dream Weaving as Praxis: Turning Culturally Inclusive Education and Anti-Racist Education Into a Decolonial Pedagogy
Bibliographic record
Abstract
Utilizing the parameters of the dreaming phase in the decolonizing framework developed by Poka Laeuni (2009), this paper investigates how culturally inclusive education and anti-racist education philosophies have been posited as potential approaches to decolonizing Canadian K-12 schools. To examine how culturally inclusive education manifests in Ontario’s K-12 system as a result of the Ontario First Nation, Métis, and Inuit Educational Policy Framework, this paper explores three topic areas. First, I provide a literature review of culturally inclusive education; second, I offer a literature review of anti-racist education; and third, having assessed the shortcomings of the two pedagogies previously, I conclude that neither culturally inclusive education nor anti-racist education are sufficient alone as decolonizing strategies. From this analysis, I hypothesize that by weaving components of the two pedagogies together, a possible decolonizing framework may be created. Keywords: education; culturally inclusive education; anti-racist education; Indigenous education; decolonization
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.054 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".