The Rise and Decline of Cocoa Production and its Economic Implication on the Cocoa Farmers in Ondo State, Nigeria
Why this work is in the frame
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Bibliographic record
Abstract
This project is concerned with the economic implication of the rise and decline of cocoa production on the people of Ondo State, Nigeria. A lot of scholarly works exist on cocoa industry in the study area, but to the best of my knowledge, this is the first work to examine the rise and decline of cocoa and how it has affected the life of people of Ondo Sate. The Post independence cocoa boom of 1960s brought a new hope into the life of cocoa farmers in Ondo State, while the period 1980 was historical in the cocoa sector of the state. It was historic in the sense that the period coincided with the mass production and exploration of crude oil in Nigeria. This development had negative economic implication on the people of the state. Because of the large population of the state, three cocoa settlements were randomly selected for this study i.e Ile-Oluji, Idanre and Bagbe. These settlements were selected because they were known to be the largest producer of cocoa in the state. The methodology adopted for this work is historical approach. Hence, the study is based on primary and secondary sources. The primary sources comprise of oral interview, newspapers, government gazettes, while relevant books were consulted as useful secondary sources. The study conclude that cocoa was an important cash crop which brought positive changes into the life of people and government of Ondo state before the exploration and production of crude oil in commercial quantities in Nigeria.
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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 it