Preparing Students for Clerkship
Bibliographic record
Abstract
The preparation of medical students for clerkship has been criticized, in terms of both students understanding of their new role as clinical trainees and their ability to carry out that role. To begin to address this gap, the authors report the development, implementation, and assessment of a novel program in which first-year medical students shadow first-year residents during their clinical duties. The program matches each student to a single resident, whom they shadow for several hours, once per month, for eight months. In the programs inaugural year (2009-10), 83 student-resident pairs participated; over 70% responded to pre- and post-intervention questionnaires, which included an 18-item preparedness scale. The authors used those responses to evaluate the program. Compared to students in a control group, the students in the program assessed themselves as better prepared to learn in a clinical setting. The low-cost student-resident shadowing program described in this article provided an early and structured introduction to the clinical environment, which may help prepare students for the transition into clerkship.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".