Perception of Women on Commercialisation of the Nigeria-Canada Indigenous Vegetables Project in Southwestern Nigeria
Bibliographic record
Abstract
The paper investigated the perception of women toward the commercialisation of the NICANVEG indigenous vegetables project. A survey research design was used for the study. Samples of 390 women (300 for quantitative and 90 for qualitative) were used for the study. The samples were selected from three out of the four states in Southwestern Nigeria where the project took place between 2011 and 2014. Two adapted instruments titled “Questionnaire on NICANVEG Project and Commercialisation (QNPC)” and “Interview on NICANVEG Project and Commercialisation” (INPC) were used to collect data. Data collected were analysed using percentages, relative significant index, chi-square and software package (Atlas ti) statistical analyses. The results showed that 182 (60.7%) of the women expressed a positive perception towards the commercialisation of the product. It was showed that the extent of involvement of women in the commercialisation indicated that 78.0% of the women participated in full-scale commercialisation of NICANVEG indigenous vegetables. Again, the result showed the major challenges facing commercialisation of the vegetables were expensive farm equipment ( = 3.57, RSI = 0.719), untimely fund ( = 3.53 RSI = 0.711) and poor market prices of vegetables ( = 3.32, RSI = 0.666). Above all, the result showed a significant relationship between levels of participation in the training on NICANVENG indigenous vegetables project and the extent of commercialization of the product (χ2 = 111.865, p < 0.05). The study concluded that positive perception of the participants had enhanced the commercialization of the indigenous vegetables.
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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".