Viability of Transboundary Fisheries and International Quota Allocation: The Case of the Bay of Biscay Anchovy
Bibliographic record
Abstract
This paper examines the viability of the management of a transboundary fishery. In a deterministic dynamic framework, we consider a fish stock with two age groups, juveniles and adults, exploited by two countries having a different impact on the age groups. A regulatory agency defines an annual total allowable catch and its allocation between the two countries. We consider allocations satisfying a set of constraints representing viability conditions. The constraints include a minimal quota and minimal profit for each country. We compare intertemporal viable trajectories with the trajectory resulting from a cooperative game in which the two countries agree on the maximization of the fishery's total profit. While the cooperative solution consists in allocating the whole fishing effort to the most efficient country, the viable solution ensures a limitation of inequalities but reduces the overall economic outcome. The results are illustrated for the Bay of Biscay anchovy (Engraulis encrasicolus L.), exploited by Spain and France, with two different types of gear, the purse seine for Spain and the pelagic trawl for France.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".