<p>Perspectives on Research Internships for Medical Students and Young Doctors in Ghana: An Opportunity to Replenish the Stock of Physician Investigators?</p>
Bibliographic record
Abstract
The corona virus pandemic undoubtedly demonstrates the growing need for research in medical science. However, with the decline in physician scientists world-wide, innovative ways are needed to engender interest in research among medical students and young doctors to replenish the stock of physician investigators. One way of doing this is to create compulsory and elective projects for them. We describe research internships created for medical students at the Noguchi Memorial Institute for Medical Research to expose them to the rudiments of biomedical research and proposal development. We also describe research internships for doctors waiting for house job postings or keen to do research who needed mentorship. Though the response has been positive, the full impact will be realized with time. The recognition that training should be backed with a supportive environment, mentorship and clear career paths for physician scientists is also mentioned.
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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 | 0.013 | 0.604 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".