Legal Dilemmas and Solutions to the Conservation and Optimum Utilization of Fisheries Resources Under Global Climate Change: The United Nations Convention on the Law of the Sea as a Perspective
Bibliographic record
Abstract
The United Nations Convention on the Law of the Sea has established a relatively well-developed system of conservation and optimum utilization of fishery resources, which provides a sufficient legal guarantee for the sustainable development of fish stocks. However, the growing problem of global climate change, in particular sea level rise and ocean warming, has significantly challenged the regime for the conservation and optimum utilization of fishery resources under the United Nations Convention on the Law of the Sea, which is mainly manifested in the possible change of fisheries resources jurisdiction, the deterioration of the overfishing situation, and the increase of international fisheries disputes. Based on this, measures such as maintaining or freezing the territorial sea baselines, preserving the rights of maritime features, strengthening cooperation among countries, and improving regional and international governance mechanisms may stabilize the current international maritime order.
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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 | 0.021 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.044 |
| Scholarly communication | 0.017 | 0.017 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.020 | 0.017 |
| 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".