Witnessing Kitchenuhmaykoosib Inninuwug's Strength and Struggle: The Affective Education of Reconciliation in Environmental Education.
Bibliographic record
Abstract
Escalating environmental controversies are placing Indigenous peoples and First Nation communities at the front lines of protests, opposing unjust government policies and corporate actions. Yet, many environmental educators are not actively engaged or affectively learning about Indigenous Land struggles against Canada’s colonial oppressions. Environmental education has a strong record of research to promote ecological, place-conscious pedagogies that build socio-emotional connections to nature, but it can also perpetuate settler colonialism by avoiding or ignoring Indigenous (Land) title. This article calls on settler environmental educators to shift towards decolonizing and Land-based reconciliation, by bearing witness as support to Indigenous struggles for jurisdiction and protection of Land. We focus on our own settler affective processing towards decolonizing as we witnessed the strength of the Kitchenuhmaykoosib Inninuwug (KI) First Nation, whose Chief and Council were jailed for protecting their territory from mining in Ontario’s Far North.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".