Dietetics Students’ Experiences and Perspectives of Storytelling to Enhance Food and Nutrition Practice
Bibliographic record
Abstract
Within the formal setting of professional dietetic practice, storytelling may be used to communicate factual nutrition information in a way that acknowledges the socio-cultural and emotional experience of food, eating, and the body. Previous research has suggested that storytelling enriches undergraduate nutrition students’ understanding of information, critical thinking, and problem solving skills, uncovers prejudice and diversity, fosters emotional connections that lead to increased mutual respect, and brings the social and cultural context of professional dietetic practice to life. Dietetic educators, however, seldom incorporate narrative as a learning tool in the undergraduate nutrition classroom. To explore the possibilities of doing so, this study asked undergraduate dietetic students about their experiences with and perspectives on storytelling via a qualitative survey and focus group interview. The results indicate that storytelling can help students connect the academic and hands-on aspects of dietetic training and practice, can help bring about shifts in power among students and educators, and may allow students to develop their dietitian persona as they find their professional voice.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".