<i>Coming and Going:</i> Dietetic Students’ Experience of Their Education
Bibliographic record
Abstract
PURPOSE: Nutrition students' expectations for and experiences of their education were explored, as was the influence of the educational process on the students. METHODS: In this qualitative research guided by a phenomenological approach, eight students in the first year and six in the final year of an undergraduate program completed semi-structured interviews. RESULTS: Although the students were diverse in terms of age, ethnicity, and class background, all stated that they wanted to become dietitians. Our findings illuminate the ways in which dietetic education influences students' relationship with food, their bodies, bodies of knowledge, and family and friends. Professionalization, as initiated through discourse, necessitates a particular loss of relationship with the self. Although students enter with an awareness of professional norms and discourses, their education fosters an identity shift based on the kinds of nutrition knowledge and discourses they are learning, as these are performed by educators. CONCLUSIONS: Acknowledging that an embodied curriculum has an impact on professionalization is important for educators and students because education is a critical site for developing a professional identity; this identity then influences how dietitians practise. This research has implications for recruitment language, professional practice curricula, faculty development, the scholarship of teaching and learning, and ongoing support for students as they enter practice contexts.
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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 | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".