Urban Vegetable Farmworkers Beliefs and Perception of Risks Associated with Pesticides Exposure: A Case of Gaborone City, Botswana
Bibliographic record
Abstract
A survey was conducted in urban horticultural setting in Gaborone City, Botswana from 4th to 31st March 2010 by interviewing 56 farmworkers on their perception and knowledge of risks and hazards associated with exposure to pesticides. The study showed that most farmers relied heavily on pesticides and applied them without considering economic damage to crop. Most pesticides used are classified as extremely hazardous by the World Health Organisatopn (WHO). Majority of farmworkers were aware of health risks and environmental contamination associated with pesticides. The awareness of pesticide harm was significantly influenced by educational background, training on pesticide use and experience on vegetable production. While the percentage of educated and experienced workers was higher (> 50%), training from extension services was only 14% indicating the need for more training to maintain the awareness standard. The study needs to be done in other urban centres of Botswana to get countrywide information on farmworkers awareness of pesticide harm.
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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".