SOCIO-ECONOMIC DETERMINANTS OF SUNFLOWER SEED PRODUCTION IN SINGIDA REGION, TANZANIA
Bibliographic record
Abstract
Sunflower seed production has been a response of rising demand for sunflower oil in the local and export market of Tanzania. The use of certified sunflower seeds has increased production of sunflower oil among the producers for local and export market. This work aimed at investigating the socio-economic determinants affecting sunflower seed production in Singida region of Tanzania. The cross-section research design with a sample size of 140 respondents was used to obtain information regarding determinants of sunflower seed production in the study area. The findings of the study shows that, the level of technology used by seed producers and suppliers, the use of skilled labor in the factories , the market deman, disasters and diseases were the key factors having a direct effect on sunflower seed production. The extent of seed production was measured based on tons of seeds produced in the years 2016 to 2020, and the study also found that sunflower seed production was low compared to the market demand at the same period. The study concluded that the rate of sunflower seed production and supply in the market can be increased by upgrading the technology used in sunflower seed value chain in Tanzania.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".