The anatomy and physiology of the medical class of 1982a.
Bibliographic record
Abstract
BACKGROUND: Studies of medical student outcome have been used to assist in medical manpower planning. There have been no published studies on medical graduates of The University of the West Indies (UWI), This study Investigates the demographic characteristics, professional and social outcomes of the Class of 1982a, twenty-five years after qualification. METHOD: Data on demographic characteristics at entry and academic performance during medical school were obtained from UWI administrative records. Data on specialty training, migration and current social status were obtained by interview. Statistical analysis was conducted using simple frequencies, chi-square and t-tests. RESULTS: There was an intake of 110 students with 108 completing the course. The mean age at entry was 21.8 +/- 3.0 years; 74.0% were male, Some 80.6% of students were from Jamaica, Trinidad and Tobago, and Barbados. Only 15.7% were admitted directly from high school. A quarter of students were scholarship awardees, with the majority being from Eastern Caribbean countries (p < 0.001). Female students outperformed male students (p < 0.05), Just over 70% of graduates pursued postgraduate training, the majority in North America. Approximately two-thirds of graduates were practicing in the Caribbean region. Almost all graduates (95.0%) trained in the Caribbean were practicing in the region but less than a thitrd of those trained elsewhere were (p < 0.001). CONCLUSION: This study has provided important information on choice of specialty training, migration and the associated factors twenty-five years ago. The information provided can therefore be used as a base for examining the trends in medical education over time and the factors influencing these trends, allowing for better planning of the manpower needs of the region.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.016 | 0.003 |
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".