Pathways to healing: Indigenous revitalization through family-based land management in the Klamath Basin
Bibliographic record
Abstract
Indigenous revitalization includes community-led healing from intergenerational land-based trauma. Yet given colonial legacies that perpetuate the devaluation of Indigenous knowledge and dispossession of Indigenous lands, healing in Indigenous communities presents particular challenges. Such challenges can include responding to western models of bureaucratic governance that replicate historical trauma in governance relations. Building on existing frameworks of Indigenous political ecology, we consider the importance of resisting colonial legacies that can influence Indigenous environmental governance. We do so by discussing community-led revitalization and resurgence in the Karuk tribal community, and an exemplar case of family-based management systems for caretaking ceremonial trails in the mid-Klamath (Northern California, USA). Through this case, we consider the interdependent functions of family-based governance and tribal government institutions for collective decolonization and healing. Our analysis of family-based management provides insights into the sociopolitical and ecological dynamics of healing in diverse Indigenous communities, and explores more inclusive models for Indigenous environmental governance.
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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 | 0.001 |
| 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 | 0.009 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".