A plant to plate pilot: a cold‐climate high school garden increased vegetable selection but also waste
Bibliographic record
Abstract
AIM: Can high school gardens in cold climates influence vegetable intake in the absence of nutrition education? METHODS: This study followed a before/after design where student tray-waste data were collected using the quarter-waste method. The study took place March-April 2012 in a high school in upstate New York. The subjects were 370 enrolled high school students that purchased lunch from the school cafeteria. Prior to the introduction of garden greens in the salad, salads were served as usual. On April 24, harvested greens were included in the salad, and changes in selection and plate waste were measured. RESULTS: When the salad bar contained garden produce, the percentage of students selecting salad rose from 2% to 10% (p < 0.001), and on average, students ate two-thirds of the serving they took. Although waste increased relative to the control (from 5.56% to 33.33% per serving; p = 0.007), more students were consuming at least some salad. CONCLUSION: This preliminary investigation suggests that school gardens increased selection and intake of school-raised produce. Although a third was not eaten, it is promising to see that still more produce was consumed compared to the past.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".