Personality distribution of Canadian medical students: A first look
Bibliographic record
Abstract
BACKGROUND: Personality is one of the key elements in professional identity formation and is self-identified as one of the top two influences for Canadian medical graduates when making a specialty choice yet little is known about the personalities of Canadian medical students. This study is the first to report personality data regarding Canadian medical students. METHODS: Personality is one of the key elements in professional identity formation and is self-identified as one of the top two influences for Canadian medical graduates when making a specialty choice yet little is known about the personalities of Canadian medical students. This study is the first to report personality data regarding Canadian medical students. RESULTS: The data were analyzed using Chi square. The distribution of personalities [Guardian, Idealist, Artisan, Rational] for medical students differs from the distribution reported for the general Canadian population. The distribution of personalities is similar for each Canadian medical school. CONCLUSION: Results from this first national accounting of the personalities of Canadian medical students suggest either that the personalities of medical school applicants differ from the general population or that personality affects medical school admissions success. Knowing the personalities of medical students could be important for medical schools in such areas as admissions, career counselling and professional identity formation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.133 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.545 | 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 teacher head, 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".