Food Insecurity: Could School Food Supplementation Help Break Cycles of Intergenerational Transmission of Social Inequalities?
Bibliographic record
Abstract
OBJECTIVE: The aim of our study was to investigate the moderating effect of school food programs in schools in disadvantaged neighborhoods on the association between household food insecurity and scholastic difficulties among adolescents. METHODS: We analyzed data from the Social and Health Survey of Children and Adolescents in Quebec, Canada, which was conducted in 1999 and included 2346 adolescent students 13 and 16 years of age (and 1983 of their parents). Sample-weighted regression analyses were performed to determine the association between household food insecurity and school difficulties and to explore the moderating role of food supplementation programs with respect to this association. RESULTS: Household food insecurity, which was linked to the indicators of family socioeconomic status, was strongly associated with the indicators of scholastic difficulties. This association disappeared for adolescents who benefited from food supplementation programs in schools in disadvantaged neighborhoods. The risk of school activity limitation decreased from OR = 2.76 (95% confidence interval [CI]: 1.41-5.41) to OR = 1.57 (95% CI: 1.35-3.40), the risk of below-average grades in the language of instruction decreased from OR = 2.19 (95% CI: 1.28-3.74) to OR = 0.59 (95% CI: 0.21-1.63), the risk of repeating a year decreased from OR = 2.14 (95% CI: 1.35-3.40) to OR = 0.87 (95% CI: 0.42-1.81), and the risk of self-rated poor academic performance decreased from OR = 1.74 (95% CI: 1.08-2.81) to OR = 0.81(95% CI: 0.37-1.78). CONCLUSION: School food supplementation is a moderating factor in the association between household food insecurity and scholastic difficulties for adolescents.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".