The Agroecological Farmer’s Pathways from Agriculture to Nutrition: A Practice-Based Case from Ecuador’s Highlands
Why this work is in the frame
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Bibliographic record
Abstract
Agroecology is increasingly recognized as a sustainable production strategy that is appropriate for the rural poor. Meanwhile, agricultural initiatives have received much attention for their role in improving farmer nutrition, and three key pathways between agriculture and nutrition include consumption of own production, income and women's empowerment. In this study based in Ecuador's Imbabura province, we used qualitative methods to explore the practices of agroecological farmers with respect to these three key pathways. Results demonstrate the heterogeneity of lived experiences through which agroecology increases agricultural diversity and builds social and human capital to improve nutrition. We further identify barter as an under-explored means to nutrition outcomes, and we discuss the role of the complex rationales that mediate farmers' performance on agriculture-for-nutrition pathways. Finally, our results illustrate agroecology's potential to spread nutrition-promoting practices through endogenous farmers' networks.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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