Prevalence of Premedical Syndrome in the Bachelor of Health Sciences and Arts & Sciences Programs at McMaster University
Bibliographic record
Abstract
BACKGROUND: The premedical syndrome is a set of characteristics consistent with some, but not all, students whose goal is to enter medical school. These characteristics include excessive competitiveness, unsociability, high motivation, and grade consciousness. METHODS: We administered a quantitative cross‐sectional survey to 175 first‐year Bachelor of Health Sciences (BHSc) students and 49 first‐year Arts and Sciences (A&S) students. Entrance to these programs is competitive and students in both show considerable interest in entering medical schools. We sought to explore attitudes and behaviors related to characteristics of premedical syndrome. RESULTS: Suggest that BHSc students are more likely to demonstrate attributes consistent with the syndrome. They devoted less time to social and extracurricular activities, were more likely to choose medicine as their future career choice at a much earlier age, and based the choice on income and prestige. CONCLUSION: Though the premedical syndrome is more prevalent in BHSc students than those in A&S, the precise reasons need further study.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".