Educating in the Seventh Fire: <i>Debwewin</i>, <i>Mino‐bimaadiziwin</i>, and Ecological Justice
Bibliographic record
Abstract
Abstract The Anishinaabe Seven Fires Creation Story can be read as a theory on which all human beings share a fundamental love of reflecting reality in what they think and do. In this article, Marc Kruse, Nicolas Tanchuk, and Robert Hamilton argue that this ethical theory is correct but that the colonial ideology taught in our schools can obscure our knowledge of this fact. Specifically, the authors claim that decolonizing education requires teaching students and teachers alike to see the presence of value whenever they encounter other beings animated by a responsiveness to reality. All living things strive to perceive and respond to reality — to live and continue to learn — even if epistemic faculties differ. All living things, then, the authors conclude, are rightly seen as our relatives and kin, as bearers of value to whom we owe moral respect, as Anishinaabe elders have long taught.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| 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".