Bibliographic record
Abstract
Shared fisheries involve fish that are caught in the marine waters of more than one country, or in the high seas. These fisheries are economically and biologically significant, but a global picture of their importance relative to total world fisheries catch and economic value is lacking. We address this gap by undertaking a global-scale analysis of temporal trends in shared fisheries species catch and landed value from 1950 to 2006. We find that (1) the number of countries participating in shared fisheries has doubled in the past 55 yr; (2) the most commonly targeted shared species have shifted from those that were mainly restricted to the North Atlantic to species that are highly migratory and are distributed throughout the world; (3) countries which account for the highest proportion of global shared fish species catch and landed value tend to be large industrial fishing powers, whereas those which are most reliant on shared fisheries at a national scale are mainly smaller developing countries. Overall, our findings indicate the increasing need to accommodate a greater number and diversity of interests, and also consider equity issues in the management and allocation of internationally shared fishery resources.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.054 | 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".