WTO must complete an ambitious fisheries subsidies agreement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The World Trade Organization (WTO) achieved a significant milestone in June 2022 by adopting a much-anticipated fisheries subsidies agreement 1 , aligning with strong recommendation from the global scientific community 2 . This pivotal agreement marks a crucial advance towards ensuring the sustainability of our ocean. For the first time, it establishes binding global regulations compelling governments to assess the legality and sustainability of the fishing activities they subsidize. Harmful subsidies are a key driver of overfishing which is a major threat to ocean biodiversity 3 . Subsidies also exacerbate CO 2 emissions from fishing sectors by incentivizing over-capacity 4 and putting coastal livelihoods and food security at risk 5 . Within this agreement, trade ministers committed to further negotiations on unresolved matters. Such matters include crafting new regulations to diminish subsidies contributing to overfishing and excessive fishing capacity (Fig. 1 ) that have given some countries an unfair advantage in exploiting the ocean 6 . Removing harmful subsidies and therefore overfishing, will help to rebuild diverse fish populations, subsequently leading to increased levels of sustainable catches, and income for fishers. Rebuilt fish populations would also help reduce carbon emissions 7 , 8 . Fig. 1 Fisheries subsidies amount by category and type and grouped by developed and developing country groups (dark vs. light blue, respectively), for 2018 6 . Full size image
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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