Fisheries subsidies and potential catch loss in SIDS Exclusive Economic Zones: food security implications
Why this work is in the frame
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Bibliographic record
Abstract
Abstract We study the effects of providing subsidies to the fisheries in small island developing states (SIDS), where fisheries are important to both the food security and livelihoods of the populations. By analyzing data on current and potential catch and computing the potential catch losses from the Exclusive Economic Zones (EEZs) of SIDS, we find that, collectively, SIDS have currently overfished their waters to the extent that their current catch is just under 50 per cent of the maximum catch potential. This catch loss results in direct and indirect food security impacts in terms of losses in healthy, varied and nutrient-rich food, revenues, incomes and economic impacts in SIDS. Our results also demonstrate that capacity-enhancing subsidies contribute to overfishing while the effect of good subsidies is unclear and needs further analysis.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it