Understanding Sustainability Education: A Community-Based Experience
Bibliographic record
Abstract
Sustainability education policies are widely focused on modern technologies, green profits, and development projects in many Indigenous communities. However, there has been minimal attention given to critical areas such as: Indigenous world views, spiritual and relational practices, culture, lands, and revitalization. This imbalance, combined with the destruction and lack of recognition to Indigenous knowledge (systems), suggests that Indigenous environmental education policies are still in a state of adolescence as a field of academic inquiry. The present study examines how an Indigenous community understands sustainability and analyzes these understandings in relation to the literature on the politics of nature as well as Indigenous and postcolonial studies. This research followed a relational Participatory Action Research (PAR) research approach with a focus on the researchers’ relational accountabilities and obligations to study participants and site.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.040 | 0.022 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 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".