Preparing General Internal Medicine Residents for the Future – Aiming to Match Training to Need – A Pilot Study in Saskatchewan
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
Health care workforce planning is difficult. It is even more so for a generalist specialty such as General Internal Medicine (GIM) as a key feature, worldwide, is the ability and desire of General Internists to adapt to the needs of their local context. Although this adaptability is an important resource for health care systems, it must be planned for in GIM educational curriculums. A pilot study in our province indicates that there are a broad range of competencies that all regions wished for in graduates of GIM programs. There were, however, many varied local needs that must be planned for in addition to ensuring all graduates have the broad skill set of GIM. Regions desired to employ true generalists with potentially an added skill. To truly ensure GIM graduates meet future societal needs will require ongoing links between health intelligence data and curriculum planning.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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