Marketing preferences of small‐scale farmers in the context of new agrifood systems: a stated choice model
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Considering the dynamic changes in agrifood systems in developing countries, this study uses a stated choice model to explore the marketing preferences of small‐scale producers of fresh fruits and vegetables in Honduras. Eight attributes, proposed in hypothetical contracts to farmers, are evaluated. The results suggest that farmers have strong marketing preferences associated with new supply chains, such as prearranging prices and quantities with buyers, but have remaining preferences for some attributes of traditional spot markets, such as the lack of grading produce, receiving cash payments, lack of delivery schedules, ability to sell at the farm gate, and ability to sell individually. Further, farmers prefer market channels that do not require major upfront investments. The results suggest that the traditional marketing preferences of farmers could impede participation of small‐holders in emerging supply chains and take advantage of the potential opportunities that new agrifood supply chains can offer. [JEL Code: Q13 O14]. © 2009 Wiley Periodicals, Inc.
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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 | 0.000 |
| 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