Children Accept Products Reformulated to be Healthier From a Mexican Food Assistance Program: A Basic Qualitative Research Study
Bibliographic record
Abstract
OBJECTIVE: To describe children's experiences with the sensory characteristics of reformulated cereal products delivered by the School Breakfast Program (SBP) in Mexico following the implementation of package warning labeling regulations. METHODS: We conducted a basic descriptive qualitative study involving focus groups of 40 SBP beneficiary children from rural schools recruited through convenience sampling. The data were transcribed verbatim and analyzed using qualitative content analysis. RESULTS: Children presented positive experiences regarding the visual (eg, animal shapes), textural (eg, nonsticky texture), and taste (eg, peanut and amaranth combination) characteristics of reformulated SBP products. As the SBP products had no labels or warning legends, they were considered nutritious and healthy. CONCLUSIONS AND IMPLICATIONS: The results provide preliminary evidence that children accept food products reformulated to be healthier without warning labels or legends. Understanding children's sensory experiences is crucial for identifying gaps and opportunities to ensure SBP operations.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".