An Online Management Information System for Objective Structured Clinical Examinations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective Structured Clinical Examinations (OSCE) are adopted for high stakes assessment in medical education. Students pass through a series of timed stations demonstrating specific skills. Examiners observe and rate students using predetermined criteria. In most OSCEs low level technology is used to capture, analyse and produce results. We describe an OSCE Management Information System (OMIS) to streamline the OSCE process and improve quality assurance. OMIS captured OSCE data in real time using a Web 2.0 platform. We compared the traditional paper trail outcome with detailed real time analyses of separate stations. Using a paper trail version only one student failed the OSCE. However, OMIS identified nineteen possibly ‘incompetent’ students. Although there are limitations to the design of the study, the results are promising and likely to lead to defendable judgements on student performance.
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.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it