Assessing nutritional value of ready-to-eat breakfast cereals in the province of Quebec (Canada): a study from the Food Quality Observatory
Bibliographic record
Abstract
OBJECTIVE: The Food Quality Observatory was created in the province of Quebec (Canada) in 2016. In this study, the Observatory aimed to generate a methodology to (1) test the use of sales data combined with nutrient values to characterise the nutritional composition of ready-to-eat (RTE) breakfast cereals offered and purchased in the province of Quebec (Canada) and (2) verify the extent to which a front-of-pack label based on the percentage of daily value (DV) for total sugar, as a strategy to improve the food supply, would be distributed in this food category. DESIGN: Nutritional information were obtained by purchasing each RTE breakfast cereal available in the Greater Montreal area. Cereals were then classified according to their processing type. SETTING: The nutritional values of 331 RTE breakfast cereals available in Quebec were merged with sales data covering the period between May 2016 and May 2017. A total of 306 products were successfully cross-referenced. RESULTS: Granola and sweetened cereals were the most available (36·6 % and 19·6 %, respectively) and purchased (19·8 % and 40·9 % of sales, respectively). When compared with other types of cereals, granola cereals had a higher energy, fat, saturated fat, protein content and a lower Na content. A larger proportion of chocolate (65 %) and sweetened cereals (49 %) were above 15 % of the DV for sugar. CONCLUSIONS: This study showed that the methodology developed generates important data to monitor nutritional quality of the food supply and ultimately contribute to improve the nutritional quality of processed foods.
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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 | 0.002 | 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".