Identifying Predictors of Safe Food Handling Practices among Canadian Households with Children Under Eighteen Years
Bibliographic record
Abstract
Poor food handling practices at home are a common cause of foodborne illness. Children are more susceptible to foodborne illness than adults. Because children’s food safety depends on the safe food handling practices of parents and caregivers, this study aims to identify determinants of safe food handling practices among Canadian families with children under 18 years. Data for Canadian households with children (n = 294) were extracted from a larger telephone survey conducted across all Canadian provinces and territories between 2014 and 2015. Four food safety practice outcomes and six demographic variables were examined using multivariable logistics regression. Most survey participants were females (56%) who had less than a bachelor’s degree (67%) and were caring for one child (55%). Approximately 90% of caregivers reported proper hand hygiene, and 79% refrigerated leftovers within 2 h of cooking. Only 33% of caregivers reported preventing cross-contamination, and fewer reported using food thermometers for poultry cuts (13%) and hamburgers (11%). Those in the higher income and education categories were less likely to follow safe food handling practices such as hand hygiene and safe refrigeration of leftovers. This research highlights the need for food safety interventions that target Canadian families with children within certain demographic groups.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".