Interesting Shapes of Vegetables: Is it A Strategy to Promote Consumption Among Preschool Children?
Bibliographic record
Abstract
This study highlighted the low intake of vegetables by preschool children and determined whether changing the shape of vegetables increased their level of consumption. A new strategy of repeated exposure to interesting-shaped vegetables was a step aimed at increasing vegetable consumption by increasing the fun element in having vegetables as snacks. Vegetables are the less desirable food in comparison to more attractive unhealthy choices available to children, and discovering a strategy to promote vegetables is considered an important step in nutrition. The primary aim was to explore the effect of repeated exposure (eight times) of shaped vegetables on consumption by preschool children. The secondary aim was to determine the level of accessibility of vegetables at home and its influence on the consumption of the shaped vegetables by children. The purpose of this experiment was to compare the amount of consumption between different days and different vegetable shapes. Children (n=42) from five different childcare centres in London, Ontario as well as their parents were part of the study. Some of the data from the questionnaires came from responses of the parents (n=42), such as the demographic information and the accessibility and availability of vegetables to children at their homes. The experimental test started after the collection of some primary data from the questionnaires. In the first part of the experiment, each child was provided vegetables in their natural forms to provide an indication of the consumption of uncut vegetables as baseline data. The children were later provided with vegetables cut in different shapes (flower-shaped, star-shaped and owl-/bat-shaped). Lastly, the natural shape of vegetables was provided again to the children to determine how the different shapes of vegetables influenced their consumption of natural-shaped vegetables. The preferred dip was served with vegetables for four first days of the study; however, one childcare center had the reverse sequence. The data were analysed using analytical and descriptive statistical tests. In this study the promotion strategy of repeated exposure for 6 days to shaped vegetables increased the preschool children’s consumption of natural shaped vegetables on the 8th day of the experiment by 10.5%. The preschool children’s consumption of shaped vegetables was significantly higher (p<0.001) than their consumption of natural shaped vegetables.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".