Small‐scale fisheries and local food systems: Transformations, threats and opportunities
Bibliographic record
Abstract
Abstract Fish from marine and inland capture fisheries is an important food that contributes significantly to diets and health, but their contribution is somewhat overlooked in food security and poverty‐related policies. Given the current numbers of malnourished people globally, there is a pressing need to consider how to better realize the potential of fish in food systems that can address malnourishment. To do so, we re‐examine the fisheries literature from the perspective of food systems. Starting with nutritional needs and considering how these may be met through local food systems reveals an ongoing transformation that has implications for small‐scale fisheries, as increasingly become part of globalized food systems. We describe the factors that can change the nature of production, mediate access to fish and the distribution of benefits that can lead to impoverishment. This emphasizes the governance challenges that lie at the heart of complex, contested and increasingly globalized food systems, in which actors interact to shape the systems, determining who benefits and how. We draw attention to critical issues of access, power and the values and norms that underpin efforts to manage and transform fisheries, exposing the unequal struggle to secure access that small‐scale fishers and poor people must endure. We suggest a vital challenge for fisheries management is to engage with this struggle and develop policies and management measures that would enable fisheries to make positive contributions to food systems and nutritional security, while meeting global sustainable development objectives.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".