Food security in nigeria: a development framework for strengthening igbemo-ekiti as a regional agropole
Bibliographic record
Abstract
Most governments in developing countries (DCs) now pay greater attention to food security, for self-reliance in certain staple food, particularly rice. This paper, therefore, considers the promotion of rice production in a growing town in Ekiti State, Nigeria. Two hundred and sixty four dwellers were randomly selected in the existing 21 residential quarters in the study area (Igbemo) and interviewed, out of which 170 were rice farmers. Data analysis was carried out using simple descriptive statistics such as frequency distribution and percentages, the Pearson Moment correlation test and the multiple linear regression models. Results show that most of the rice farmers (i) embrace local technology, (ii) operate on subsistence scale, (iii) realise low yield, (iv) earn low income and (v) lack institutional support to sustain production. Suggestions for policy measures were offered based on research fi ndings.
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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 | 0.003 | 0.001 |
| 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 | 0.001 |
| 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".