Island Empowerment as Global Endowment: Understanding Hawaiian Adaptive Cultural Resource Management
Bibliographic record
Abstract
Based on fieldwork and interviews with academics, activists, government officials, and indigenous alaka‘i (practitioners) involved in the revival of traditional fishponds and ahupua‘a (land-based management systems), I provide a case study of the politics of cultural resource management on two islands in Hawai’i. Analyzing the intersections of identity, community, education, and spirituality as they influence indigenous sciences of sustainable resource management, I underscore themes in cultural resource management, historically based restoration, Community Based Subsistence Fishing Areas (CBSFAs), and Traditional Ecological Knowledge (TEK), particularly focusing on the merits of combining these methods to create an adaptive resource management style. According to informants' understandings of place, culture, and politics in their own lives, the ideal model for a sustainable global future should be based on an indigenous place-based model of “adaptive” cultural resource management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".