Importance of Home Gardens in Rural Zone of the Municipality of Abomey-Calavi in South of Republic of Benin
Bibliographic record
Abstract
In the municipality of Abomey-Calavi in the Department of the Atlantic in South Benin, home gardens constitute at least 35% of the families' monthly sources of food, fruit, poultry and pigs. 43 home gardens were visited and 30 were selected by reasoned choice for the survey itself. The objective of this study is to show the contribution of these home gardens to the food security of rural populations. The data concerned the size, floristic composition, phytogeographical distribution, the years of creation of home gardens, the various uses of plants, the incomes brought by plants such as bananas, palm trees, coconut trees and teak. Individual structured interviews were used to interview households. Indices of diversity such as Shannon-Wiener and Jaccard have made it possible to categorize these home gardens and to specify their biological richness. The size of these gardens ranges from 200 m2 to 8300 m2. The average percentage of species grown in home garden is 55% for their nutritional values, 29% for their medicinal values, 7% for the wood and energy needs of the populations. Half of the species found, have a wide geographical distribution. Income from these agrosystems sometimes cover partially or totally the children's school fees. This study has therefore shown the importance of home gardens in the municipality of Abomey-Calavi in a context of climate variability and increasingly pronounced demographic pressure on natural resources.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".