Dietetic Students’ Identity and Professional Socialization: In Preparation for Practice
Bibliographic record
Abstract
PURPOSE: Students' identity development and professional socialization during dietetic education were explored. METHODS: Thirteen undergraduate dietetic students from two universities completed three in-depth interviews based on Seidman's phenomenological approach. The students were at various stages of their education. Data were analyzed with a feminist form of inductive thematic analysis. RESULTS: Dietetic students come to the educational process with a broad interest in health, helping, or foods and nutrition. The academic and practical components of dietetic education create opportunities for students to refine personal interests in order to (re-)envision their place within the profession. The complexity of professional socialization and identity development was illuminated as some students' focus was redirected to becoming an intern rather than becoming a dietitian. Students transformed their identity to meet the requirements they thought were expected or necessary to obtain an internship. Internship competition and the program environment can influence this transformation. CONCLUSIONS: Professional identity development begins before dietetic education and develops within the context of that education, representing the intersection of both people and events. A recognition and understanding of these complexities can result in strategic recruitment, informed curriculum changes, and professional development opportunities for dietetic educators, which will enhance their ability to support students in the professional socialization process.
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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 | 0.005 | 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 | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".