Drivers of Dry Common Beans Trade in Lusaka, Zambia: A Trader’s Perspective
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
<p>This study was designed to analyze drivers of dry common beans trade in Lusaka, Zambia. Specifically, the study analyzed the effect of common bean grain characteristics on bean market price. Data was collected using structured questionnaires from 225 traders stationed in three markets namely: Soweto, Chilenje and Mtendere.</p>Using hedonic pricing, the findings reveal that medium sized grain was an important characteristic which significantly affected the pricing of common bean. For instance, it was observed that medium grain size fetched ZMW1.266 per kilogram (kg) and ZMW 1.042 per kg more than grains of smaller size in the pooled and Soweto market sample, respectively. It was further revealed that yellow, yellow and white color significantly affected the bean price received by traders. Other factors which significantly affected the pricing of beans included age of the trader, being a retail trader and trading at Chilenje market. Given these findings, common bean breeders need to include traders and consumers as important actors whose knowledge can make resourceful impact in varietal development. Furthermore, interventions by policy makers that respond to the social economic needs of traders is recommended to improve bean trade.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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