Assessment of Interest in a Virtual Avatar-Based Nutrition Education Program Among Youth-Serving Community Partners
Bibliographic record
Abstract
OBJECTIVE: Examine the appeal of a virtual avatar-led nutrition education program among youth-serving community partners in North Carolina. METHODS: We surveyed community partners using the Diffusion of Innovation Theory constructs of relative advantage, compatibility, and complexity. Logistic regression evaluated the appeal and likelihood of the program's future use. RESULTS: Community partners (n = 100) agreed that the program was an innovative (87%) and convenient (85%) way for youth and parents to learn about nutrition. Partners who perceived the program as a relative advantage to current programs had significantly higher odds of future use intention (P = 0.005). Those who found it compatible with organizational and personal values had significantly higher odds of future use (P < 0.001). CONCLUSIONS AND IMPLICATIONS: A nutrition education virtual avatar program is of interest to youth-engaged community partners. Future research examining the potential integration of this type of program within community organizations is warranted.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".