Bibliographic record
Abstract
Successful dietetic program graduates must have an entrepreneurial mindset and skills to respond to environmental changes and consumer trends. The purpose of this study was to determine current or intended entrepreneurship by graduates of a Dietitians of Canada accredited university program, as influenced by self-efficacy stemming from entrepreneurial experiences in education or early career, as well as by internal and external factors. This study employed an exploratory descriptive methodology with a questionnaire mailed to a discrete sample. Ninety graduates completed and returned the questionnaire for a response rate of 55%. Data analysis included descriptive statistics, two-way table analysis, the chi-square test for independence, and Fisher's exact test. Significant relationships were found between self-efficacy scores and entrepreneurial action, specific entrepreneurial experiences and entrepreneurial intent and action, dietetic internship and intent, and belief in the importance of business skills and intent. Those with entrepreneurial intent and/or action identified creativity, dietetic education/internship, persistence, business skills, and family/friend support as helping factors. These results suggest that undergraduate, internship, and continuing education programs for dietitians should incorporate activities that develop entrepreneurial skills and contribute toward an entrepreneurial mindset.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".