Farmers’ Perspective on Sociological and Environmental Issues of Urban and Peri-Urban Agriculture: A Case Study from Western and Southern Regions of Sierra Leone
Bibliographic record
Abstract
The paper examined and brought to the fore the typical characteristic of urban and peri-urban farmers in Freetown and Bo communities which serves as major source of supply of agricultural products into the cities’ markets. The social and environmental aspect and perception of producers involved in urban and peri-urban agriculture was examined. Descriptive statistics and pictograms were used to analyze and present the data. Results indicate that 56.34% never went to formal school and mostly dominated by women, showing that farming became the alternative means of livelihood support for those groups. Crops grown are purely influenced by market orientation—demand and cost, as is evident in Gloucester (lettuce, cabbage and spring onions). Potato leaves were commonly grown in almost all communities, reason being that it serves as common/major sauce/vegetable cooked in every household in Sierra Leone. Maize and rice were featured in Ogoo farm—government supervised land set aside purposely for growing crops to supply the city. Findings also revealed that majority of the farmers are resource poor, judging from calculation about their monthly income earning and available household assets and amenities. About 70.4% of the lands the farmers grow their crops on is leased for production. Except for Gloucester community, when costs of production will be summed, minimal benefit seem to be realized from the farming activities. Even though some of these farmers are engaged in organization, many have limited access to micro financial organization that would probably loan them money to upscale production.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".