Perceptions of Members of Households Regarding the Production and Marketing of Moringa (Moringa oleifera) in Thulamela Local Municipality
Bibliographic record
Abstract
This study was carried out to determine how members of households perceive economic benefits of production and marketing of Moringa oleifera in the Thulamela Local Municipality. The study adopted the snowball sampling procedure to identify the population of members of households who produce and market Moringa. Simple random sampling procedure was adopted to select 146 participants. The Probit regression model was used as the analytical tool for this study. The results of the study revealed amongst others, that majority of members of households who were producing Moringa had no access to Moringa markets, and most of them were aware of the economic benefits of Moringa. The statistical significant variables which influenced the perceptions of members of households regarding economic benefits of production and marketing of Moringa were level of education (p < 0.01), Moringa farming experience (p < 0.05), access to market (p < 0.05), as well as the access to information (p < 0.05) about the production and the demand of Moringa produce. The study concluded that majority of respondents perceived that the production and marketing of Moringa would help to achieve sustainable livelihood for people living in Thulamela Local Municipality, while others were of the view that Moringa has the potential to improve nutrition, boost food security and foster rural development. The study recommended that establishment of Moringa markets, formation of Moringa cooperatives and promotional campaigns to educate members of households about the economic benefits of Moringa should be enhanced.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".