Exploring the association between food insecurity and food skills among school-aged children
Bibliographic record
Abstract
OBJECTIVE: To examine the relationship between household food insecurity (FI) and children's involvement in family meal choices and food preparation, used as proxies for children's food skills, and to explore gender differences within these associations. DESIGN: Households were classified as food-secure or food-insecure using the six-item, short-form Household Food Security Survey Module. Children's involvement in family meal choices and food preparation were treated as proxies for children's food skills. Mixed-effects multinomial logistic regression models were used. SETTING: Public schools in Nova Scotia, Canada. PARTICIPANTS: 5244 children in the fifth grade (10-11 years old) participating in the Children's Lifestyle and School Performance Study (CLASS). RESULTS: Most children reported being involved in family meal choices or food preparation at least weekly (74 and 68 %). The likelihood of helping choose family meals once a week was 33 % lower among girls from food-insecure households compared to girls from food-secure households. No differences in boys' involvement in family meal choices were observed according to household FI status. Boys from food-insecure households were 65 % more likely than boys from food-secure households to assist with food preparation/cooking four times per week. No differences in girls' involvement in food preparation were observed according to household FI status. CONCLUSIONS: Findings support that household FI is not due to a lack of food skills but most likely due to inadequate access to resources. This supports the call for upstream policies targeting the structural issues underpinning household FI such as low income.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".