Enhancing Social Accountability in Medical Education and Accreditation: A Meeting Report
Bibliographic record
Abstract
Accreditation in medical education stands in need of more empirical grounding. There is a paucity of accreditation research that hinders both quality assurance efforts and the introduction of innovative new approaches to accreditation, such as social accountability standards. The International Social Accountability and Accreditation Steering Committee (ISAASC) was established to address this gap. This meeting report outlines the outcomes of a workshop led by members of the ISAASC to identify research priorities related to social accountability and accreditation. The workshop was held during the International Congress on Academic Medicine (ICAM) on April 13, 2024, in Vancouver, British Columbia and used a modified nominal group technique. Four main priorities were identified, namely that there is a need to: 1) integrate various constituencies in accreditation research, 2) identify global drivers of social accountability standards, 3) measure impacts of socially accountable healthcare education, and 4) develop evaluation tools for accreditation activities.
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 | 0.006 | 0.144 |
| 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 | 0.001 |
| 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".