Re-centering community: Exploring land-based education for Anishinaabe learners of Batchewana First Nation
Bibliographic record
Abstract
Anishinaabeg pedagogical systems existed long before settler-colonial contact and the subsequent and ongoing occupation of Anishinaabe homelands.These systems are comprised of traditional knowledges rooted in the land, which has been storied and shared across generations of Anishinaabeg intellects.From an Anishinaabe ontological vantage point, Anishinaabeg acknowledge land as our first teacher: land is the basis of all life and, therefore, the basis of all cultural teachings central to Anishinaabe education.Anishinaabeg teaching and learning pedagogies are upheld through land-based education/learning.This positions learners to reengage with the land as a source of knowledge, orienting ontologies and epistemologies through relational learning models.This thesis centers on the work of GlenOak Academy at the
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".