When Traditional Model Meets Competencies in Singapore: Beyond Conflict Resolution
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
INTRODUCTION: The implementation of competency-based internal medicine (IM) residency programme that focused on the assurance of a set of 6 Accreditation Council for Graduate Medical Education (ACGME) core competencies in Singapore marked a dramatic departure from the traditional process-based curriculum. The transition ignited debates within the local IM community about the relative merits of the traditional versus competency-based models of medical education, as well as the feasibility of locally implementing a training structure that originated from a very different healthcare landscape. At the same time, it provided a setting for a natural experiment on how a rapid integration of 2 different training models could be achieved. MATERIALS AND METHODS: Our department reconciled the conflicts by systematically examining the existing training structure and critically evaluating the 2 educational models to develop a new training curriculum aligned with institutional mission values, national healthcare priorities and ACGME-International (ACGME-I) requirements. RESULTS: Graduate outcomes were conceptualised as competencies that were grouped into 3 broad areas: personal attributes, interaction with practice environment, and integration. These became the blueprint to guide curricular design and achieve alignment between outcomes, learning activities and assessments. The result was a novel competency-based IM residency programme that retained the strengths of the traditional training model and integrated the competencies with institutional values and the unique local practice environment. CONCLUSION: We had learned from this unique experience that when 2 very different models of medical education clashed, the outcome may not be mere conflict resolution but also effective consolidation and transformation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it