Bibliographic record
Abstract
BACKGROUND: Techniques to improve food selection in healthy children with long standing food refusal are limited. The use of educational games has been successful in getting children to increase knowledge in healthy eating, but it is uncertain whether this translates into behaviour change. Therefore the purpose of this study was to test the use of an interactive food game to increase food acceptance in healthy-weight school-age children with chronic food refusal. METHODS: Children attended an outpatient clinic and played an interactive game with a therapist and one parent during which non-preferred foods were consumed. Weekly recording of food consumption occurred with diet analysis by a Registered Dietitian three times during a 1-year time span. RESULTS: The children increased their repertoire of foods and had a more balanced intake. The changes in intake were incorporated into their daily meal patterns in the home setting and were maintained for 1 year. CONCLUSIONS: An interactive food game is a successful tool for increasing food variety in healthy children with chronic food refusal. As this report included only three subjects, the results will be used for subsequent work on this topic.
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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 | 0.000 | 0.000 |
| 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".