The Impact of School Gardening on Cree Children's Knowledge and Attitudes toward Vegetables and Fruit
Bibliographic record
Abstract
PURPOSE: School-based interventions may increase children's preferences for vegetables and fruit (V&F). This Canadian study measured changes in Indigenous First Nations schoolchildren's V&F knowledge, preferences, and home consumption following the implementation of a gardening and V&F snack program. METHODS: At baseline, 7 months, and 18 months, children in grades 1-6 (i) listed at least 5 V&F they knew, (ii) tasted and indicated their preferences towards 9 vegetables and 8 fruit using a 6-point Likert scale, and (iii) indicated their home consumption of 17 V&F. RESULTS: At all 3 time points, 56.8% (n = 66/116) of children provided data. Children listed a greater number of V&F at 18 months (4.9 ± 0.1) than at baseline (4.5 ± 1.0) or 7 months (4.7 ± .07) (F(1.6,105.6) = 6.225, P < 0.05). Vegetable preferences became more positive between baseline (37.9 ± 9.3) and 7 months (39.9 ± 9.2), but returned to baseline levels at 18 months (37.3 ± 8.7) (F(1.6,105.8) = 4.581, P < 0.05). Fruit preferences at 18 months (42.7 ± 3.0) were greater than at baseline (41.1 ± 4.3) and at 7 months (41.9 ± 5.1) (F(1.7,113.3) = 3.409, P < 0.05). No change in V&F consumption occurred at home. CONCLUSIONS: Despite improvements in V&F knowledge and preferences, home consumption of V&F did not occur. Complementing school-based programs with home-based components may be needed to influence V&F intake of children.
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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 | 0.003 | 0.008 |
| 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 | 0.001 |
| 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".