The contribution of small-scale, privately owned tropical aquaculture to food security and dietary diversity in Bolivia
Bibliographic record
Abstract
Abstract New aquaculture systems are emerging in new contexts around the world in part due to aquaculture’s perceived development benefits. However, linkages between aquaculture and food security in these systems are unclear. This study investigated the impact of emerging small-scale, business-oriented fish culture in central Bolivia on the food security and dietary diversity of aquaculture producers ( n = 40) and workers ( n = 26) in the value chain and compared them to local non-aquaculture farmers ( n = 40). Three pathways were investigated: fish consumption, household income, and women’s participation. Food insecurity was widespread and did not vary in a statistically significant way between groups, but a trend toward greater food security amongst aquaculture producers was observed. Dietary diversity was highly homogenous, with the notable exception of high fish consumption amongst producers. Aquaculture was related to higher income, and income has a modest positive effect on food security for aquaculturists and non-aquaculture farmers, but not aquaculture value chain workers. Income did not have an effect on dietary diversity. Women’s involvement in aquaculture was correlated positively to productivity, profitability, and size of operation, while male-only aquaculture was negatively correlated to these. The value chain generated employment, especially for women, but average wages were higher for men. The research provides important insight into aquaculture-food security linkages by showing that the introduction of small-scale business-oriented aquaculture systems can provide nutritious products for regional consumption and can have positive effects on food security but is not sufficient to change local dietary preferences more broadly.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".