Mai Ka Pō Mai: applying Indigenous cosmology and worldview to empower and transform a management plan for Papahānaumokuākea Marine National Monument
Bibliographic record
Abstract
Environmental conservation management planning has an important role in creating conditions for social learning, adaptive governance, and improvements for co-management arrangements with Indigenous peoples. Incorporating Indigenous cosmologies, worldviews, and epistemologies within management planning processes can enable factors that support appropriate management practices for protected areas considered to be sacred natural sites by Indigenous peoples. Here, we review processes and outcomes of management planning led by Native Hawaiians with various positionalities that resulted in the Mai Ka Pō Mai Native Hawaiian Guidance Document for the Management of the Papahānaumokuākea Marine National Monument. As we look back to look forward, we highlight the factors that supported knowledge co-production and expanded opportunities to develop management planning and evaluation processes informed by Hawaiian place-based knowledge and human-nature relations of care and reciprocity. These include collaborative approaches, long-term commitment to community and institution capacity-building; an enabling policy environment; and diverse and consistent involvement of Native Hawaiians.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".