Comprehensive Planning, Dominant-Use-Zones, and User Rights: a New Era in Ocean Governance
Bibliographic record
Abstract
Ocean-zoning arguments often center on the biology of ocean species, the geography of fishing-use patterns, and the need for preventing use conflicts. Here we expand this discussion to the social and legal aspects of ocean zoning, focusing on comprehensive planning, segregation of activities into use-priority areas, and the allocation of user rights within each zone. The inclusion of all of these features within an ocean-zoning regime can be a catalyst for a variety of ancillary benefits, including opportunities for user groups to form informal or formal long-lived institutions and a reassessment of the focus and scope of the regulatory institutions involved in ocean management. Along with the ability of users to negotiate and trade within and between zones, both features will lead to improved conflict resolution, efficiency of use, and ecosystem stability—critical components for the production of ecosystem services and maintenance of biological and human economic benefits.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".