Perceptions on pesticides: Knowledge, attitudes and practices of residents in Trinidad and Tobago
Bibliographic record
Abstract
Extensive pesticide use in Trinidad and Tobago (T&T) raises concerns for human and environmental health. Therefore, this study sought to assess the general knowledge, attitudes and practices of T&T residents on pesticides and related topics. Using convenience (non-probability) sampling, a questionnaire was administered to residents of Trinidad (N = 572) and Tobago (N = 68). Most respondents (93.44%) had insufficient knowledge on pesticides and application protocols but had supportive attitudes (95.94%) that acknowledged pesticides as harmful, and positive perceptions toward eco-friendlier approaches (IPM, organic farming). Poor practices (97.5%) were prominent, including heavy pesticide reliance (>70.0%), no PPE during pesticide handling (48.76%) and minimal use of IPM (15.31%) and biocontrol (12.50%). User knowledge gaps and malpractices can inform local state entities in designing effective public outreach initiatives for promoting adoption of safer pest management practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".