Book Review: Cree Pedagogy: Dance your Style
Bibliographic record
Abstract
Weenie's "Cree Pedagogy: Dance Your Style" discusses the knowledge systems of Cree Peoples as well as their distinct methods of teaching and learning.The phrase "Dance Your Style" encapsulates the Cree way of learning, a process that must be enjoyed and not simply carried out mentally.Hence, students are motivated to approach knowledge creatively and uniquely, like dancing.Given all authors are Cree, they offer unique lived experiences and perspectives adding a personal element to the book.The author, Angelina Weenie, clearly states the book's intent as a resource for sharing Cree knowledge, how they came to learn it, and how they teach based on Cree ways of being (Weenie, 2024, p.1).Hence, when I read this book, I expected to learn about the Cree people, their ways of knowing, and their ways of teaching.As an educator, my interest mainly focused on a new perspective on pedagogy alongside Cree epistemology.However, I could take away so much more than just that.Divided into three parts, namely Cree pedagogy, earth teachings, and the pathway, the book presents First Nations Pedagogy as a pedagogy rooted in land, language, culture, community, and elder knowledge.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.034 | 0.014 |
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".