Desarrollo de un cuestionario didáctico para conocer la ingestión de verduras y frutas de niños en el receso escolar: estudio piloto
Bibliographic record
Abstract
OBJECTIVE: To develop an open, self-reported questionnaire, focused in understanding intake and intention to increase vegetable and fruit consumption during the Mexican children's lunchtime. MATERIALS AND METHODS: After assessing pilot tests, the self-reported questionnaire was applied as a classroom exercise to measure children's consumptions of fruit and vegetables. RESULTS: A total of 486 children completed the questionnaire (49.8% males and 50.2% females). The reported food consumption indicates that 24.5% of children do not consume vegetables or fruits, and among consumers the most common portion size is one. Girls consume more vegetables and fruits and they can recognize more benefits. A total of 9.7% of the participants that do not consume VF, expressed less intention of including vegetables or fruits in their lunch. These results were similar to those reported by other authors. CONCLUSION: This study is useful to identify strengths and limitations during the design and implementation of this type of instrument to understand children's food habits during school recess.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".