Determinants Of Productivity Level Of Commercial Grasscutter Farmers In Oyo State
Bibliographic record
Abstract
Seventy-five registered grasscutter farmers were purposively sampled among association members and non-members. The data was collected through administration of structured questionnaire and analyzed using descriptive and inferential statistics to determine relationship among variables. The study revealed that majority of the respondents were males (83.8%), married (78.4%) and had tertiary education (82.6%). Large proportion were Christians (51.4%) and 64.8% were within the age range of 30-50 years. The study however, showed that more than three-quarter (78.4%) obtained more than 1.0 productivity and friends/neighbour (51.4%) and contact farmers (50%) were major sources of information. Home/farm sales (81.8%) was a major marketing channel used by the farmers. The average profit/gain made by respondents was N54,203 while sales of grasscutters was not seasonal but at any time of the year. Credit facilities diseases/pest/parasites and high cost of farming equipment and housing were mentioned constraints. There was significant relationship between farmers' age and their productivity level (r = 0.30, p Keywords : Grasscutter, Productivity, Livestock farming. African Journal of Livestock Extension Vol. 5 2007: pp. 71-75
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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 | 0.001 | 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 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".