Leveraging port state measures to combat illegal, unreported, and unregulated fishing
Bibliographic record
Abstract
Illegal, unreported, and unregulated (IUU) fishing threatens the sustainability of fisheries and communities dependent on them. The Port State Measures Agreement (PSMA) is a key tool for combatting IUU fishing by foreign fleets, requiring standardized inspections, information sharing, and port denial. Using satellite data, we characterized how PSMA has affected high seas vessel behavior and identify opportunities to strengthen its impact. PSMA adoption has increased travel distances to the nearest ports in States not Party to PSMA and channeled more fishing effort to domestic and PSMA Party ports. However, domestic fishing fleets need greater attention because they constituted 66% of port visits in 2021. Among reflagged vessels, we also found a 30% increase in visits to PSMA ports by vessels shifting to domestic flags after PSMA entered into force, allowing them to avoid PSMA requirements for foreign vessels. Our results highlight the centrality of implementing consistent, effective port State measures across foreign and domestic fleets to address IUU fishing risks.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".