Bibliographic record
Abstract
OBJECTIVES: To examine the nutritional quality of gluten-free (GF) products specifically marketed for children. METHODS: All child-targeted food products were purchased from 2 major supermarket chains in Calgary, Alberta, Canada. Using the Pan American Health Organization Nutrient Profile Model, the nutritional quality of products with a GF claim was compared with those without such a claim. A secondary analysis further compared the nutrient profile of child-targeted GF products to their product “equivalents.” RESULTS: Overall, child-targeted GF products had lower levels of sodium, total fat, and saturated fat but also had less protein and a similar percentage of calories from sugar compared with child-targeted products without a GF claim. According to the Pan American Health Organization criteria, both GF products and "regular" products designed for children can be classified as having poor nutritional quality (88% vs 97%; P < .001). When analyzed in light of their product equivalents without a GF claim, both had similarly high levels of sugar (79% vs 81%; P < .001). CONCLUSIONS: GF supermarket foods that are targeted at children are not nutritionally superior to regular child-targeted foods and may be of greater potential concern because of their sugar content. The health halo often attributed to the GF label is not warranted, and parents who substitute GF products for their product equivalents (assuming GF products to be healthier) are mistaken. Parents of children with gluten intolerance and/or sensitivity, along with parents who purchase GF products for other health reasons, need to carefully assess product labels when making purchases.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".