An international basic science and clinical research summer program for medical students
Bibliographic record
Abstract
An important part of training the next generation of physicians is ensuring that they are exposed to the integral role that research plays in improving medical treatment. However, medical students often do not have sufficient time to be trained to carry out any projects in biomedical and clinical research. Many medical students also fail to understand and grasp translational research as an important concept today. In addition, since medical training is often an international affair whereby a medical student/resident/fellow will likely train in many different countries during his/her early training years, it is important to provide a learning environment whereby a young medical student experiences the unique challenges and value of an international educational experience. This article describes a program that bridges the gap between the basic and clinical research concepts in a unique international educational experience. After completing two semester curricula at Alfaisal University in Riyadh, Kingdom of Saudi Arabia, six medical students undertook a summer program at St. Boniface Hospital Research Centre, in Winnipeg, MB, Canada. The program lasted for 2 mo and addressed advanced training in basic science research topics in medicine such as cell isolation, functional assessment, and molecular techniques of analysis and manipulation as well as sessions on the conduct of clinical research trials, ethics, and intellectual property management. Programs such as these are essential to provide a base from which medical students can decide if research is an attractive career choice for them during their clinical practice in subsequent years. An innovative international summer research course for medical students is necessary to cater to the needs of the medical students in the 21st century.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.036 | 0.014 |
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".