Dietetic Educators’ Perspectives on the Ways in Which Leadership Is Demonstrated by Dietetic Students and Interns: Insights from a Canadian Study
Bibliographic record
Abstract
Background and objectives: As food and nutrition experts, dietitians are key to quality care for numerous patients and clients. Dietitians continue to find their place within the health care hierarchy and the ways in which they can be recognized as leaders in the healthcare system. In Canada, there is a new competency domain related to dietetic leadership; however, little is known about Canadian dietitians’ leadership development. The objective was to develop a foundational understanding of how leadership skills are currently taught through dietetic education in Canada. Methods: A documentary analysis of 13 Canadian dietetic programs and a focus group interview with dietetic educators was conducted as one phase of a doctoral study. The interview was recorded and transcribed verbatim. A data extraction tool was used to analyze the program documents, and thematic analysis was conducted on the interview transcript. Results: Findings from the documentary analysis provided a snapshot of how leadership was developed in students, considering leadership was not a core competency at the time of the data collection and analysis. Focus group participants agreed with the documentary analysis findings. They talked about how personal characteristics can be developed and shared examples of how they have seen students develop their leadership skills throughout their educational experience. There was no evidence that each program had a specific definition or conceptual framework for leadership; however, some of the educators talked about distributed leadership as important to dietetic practice. Where the focus group participants began to diverge from the preliminary findings was when they began to talk about specific program elements such as curricula, program or institution requirements, and education needs requirements. Discussion: Dietetic educators suggest that students demonstrate leadership through their ability to critically reflect, collaborate with other classmates, and develop and implement comprehensive plans. The main way dietetic students gain leadership skills outside of the program is primarily through extracurricular activities. Many of these activities are within, but not limited to, the nutrition and dietetics profession. Dietetic educators agreed that leadership can be developed in dietetic students, although some leadership characteristics are important when applying to a program.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.037 | 0.011 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".