Global sustainability assessment of cephalopod fisheries based on pressure-state-response framework
Bibliographic record
Abstract
Cephalopods are growing in commercial importance due to their unique biological characteristics; however, uncertainty about the pressure facing cephalopod fisheries poses a challenge to the health of fisheries and to policy development. Therefore, identifying and quantifying the dynamics of the sustainability of global cephalopod fisheries becomes critical. This study focuses on twenty major cephalopod producing countries around the world, using a pressure-state-response (PSR) framework together with an uncertainty assessment methodology. The results suggest that the sustainability of cephalopod fisheries varies greatly among countries; with developed countries characterized by low pressure and high response while developing countries show the opposite characteristics. Although there were large differences in the sustainability of this fishery among countries, the level of sustainability tightened slightly over time. The results emphasize that key response indicators, such as mitigating stressors on fisheries and improving the governance capacity of government departments, contribute to the sustainable use of cephalopod resources.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".