Level of integration in current undergraduate curricula of two private-sector medical colleges in Karachi
Bibliographic record
Abstract
Background: Diverse strategies are employed globally to integrate medical curricula. Nevertheless, a gap exists in assessing the role of medical instructors in meaningful integration. We developed and used a tool to explore the current level of integration, score medical instructors' individual practices for integration, and investigate contextual elements minimizing integration. Methodology: = 107). We validated a paper-based questionnaire through a pilot study on five participants. This tool with 11 close-ended questions on a 5-point Likert scale generated instructors' integration scores, and six open-ended questions probed instructors' perspectives. Results: The mean integration score was 37.4±6.7. Participants' perspectives indicated a need for participation of clinical faculty in teaching initial undergraduate years, involving lecturers in curriculum meetings, and integration of assessment. The questionnaire Cronbach-alpha was 0.732 with satisfactory principal-component-analysis. Conclusion: Medical instructors facilitated integration mainly through concurrent timetabling of similar topics. Moreover, formal consultation through committee meetings, with discipline-based and integrated approaches complementing each other, were in practice to achieve curricular goals.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".