Alimentos industrializados en la dieta de los preescolares mexicanos
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To classify the foods consumed by Mexican children 1-4 years in three food categories according to the preparation process and temporality: a) Processed Modern Foods (PMF), b) Processed Traditional Foods (PTF) and c) Non-Processed Foods. MATERIAL AND METHODS: Twenty-four-hour dietary recalls were collected from the National Nutrition Survey 1999 in children 1-4 years (n =1070). The contribution of each food category to the total energy, macronutrient and fiber intakes was analyzed. RESULTS: The contribution of PMF and PTF was as follows, respectively: Energy: 17%, 31%; total protein: 14%, 25%; non-animal protein: 10%, 10%; animal protein: 17%, 34%; carbohydrates: 18%, 26%; fiber: 4%, 5%; total fat 15%, 41%; saturated fat 16%, 52%; and cholesterol 7%, 7%. CONCLUSIONS: The contribution of PF to the diets of Mexican children accounts for >39% of energy, total protein, animal protein, carbohydrates and fat. The authors recommend the participation of food industry to prevent malnutrition in children.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it