Knowledge and Awareness of Children's Food Safety Among School-Based Street Food Vendors in Dhaka, Bangladesh
Bibliographic record
Abstract
We carried out a cross-sectional study to determine the level of knowledge and awareness regarding children's food safety issues among the school-based street food vendors in Dhaka city. A total of 250 school-based street food vendors were interviewed employing a pre-tested structured questionnaire comprising foodborne illness and food hygiene-related questions. We used a scoring system based on the responses obtained from them, and categorized the overall level of knowledge and awareness into "adequate" and "inadequate." Multivariable logistic regression was used to explore the association between selected sociodemographic characteristics and the level of knowledge and awareness. The most common food item vended by school-based street food vendors was chotpoti/fuchka (37.2%). The median number of schoolchildren customers was 120 per vendor per day. All (100%) vendors were male with a mean age of 30.95±8.8 years, and their mean daily income was 131.16±62.54 Bangladeshi Taka (1.97±0.94 USD). Most (40.1%) of the respondents belonged to the age group 25-34 years, and the majority (43.6%) did not have any formal education. More than two-thirds (68%) vendors could not show adequate level of knowledge and awareness of children's food safety issues. The most common source of obtaining food safety information by vendors was electronic media (91.8%). Elderly (≥45 years) vendors were 17.73 times more likely to have adequate level of knowledge and awareness than the vendors belonging to age group 15-24 years (p<0.001; adjusted OR=17.73; 95% CI=4.38-71.73). Individuals who had an education of higher than primary level were 9.87 times more likely to possess adequate level of knowledge and awareness than those who did not have any formal education (p<0.01; adjusted OR=9.87; 95% CI=2.07-46.93). The majority of school-based street food vendors showed an inadequate level of knowledge and awareness of children's food safety issues.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".