<i>Assessment of the</i> <b>Mission Nutrition</b><sup>®</sup> Nutrition Education Program
Bibliographic record
Abstract
In 1998, Dietitians of Canada and the team of registered dietitians at Kellogg Canada Inc. partnered to develop Mission Nutrition, a national bilingual nutrition education program that provides curriculum-based resources to teachers. The main objectives of this study were to measure the awareness and utility of the Mission Nutrition program among elementary teachers, and to identify opportunities to enhance the Mission Nutrition resources to increase use. A ten-minute telephone survey was conducted with a representative sample of 203 elementary school teachers. A sub-sample of 20 teachers then participated in a more in-depth 30-minute telephone survey. A need for increased promotion of the Mission Nutrition program was identified on the basis of the 22% awareness among teachers participating in the initial interview. All teachers who had used the educator guides and student activity sheets reported that they would use them again. Teachers found that the Mission Nutrition materials were well-researched and contained useful activities relevant to students. The findings indicate that, to be most effective, nutrition education resources should be provided in a ready-to-use format and integrated with core curricula. Teachers also suggested that materials should include fresh ideas to engage students at different grade levels, and ways to involve parents. Dietitians are ideally positioned to work collaboratively with educators to develop these types of nutrition education resources.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".