“Building Your Neurology Acumen”: A Flipped Classroom Approach for Internal Medicine Residents
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
Globally, internal medicine (IM) residents often feel they lack the knowledge and skills to approach patients presenting with neurologic issues. We conducted a multiple method needs assessment to determine the feasibility of a novel neurology flipped classroom (FC) curriculum for internal medicine residents. Our primary findings include participants: (1) finding neurology a useful rotation; (2) feeling uncomfortable with the neurological examination; and (3) endorsing flipped classroom as a potential alternative but with significant barriers. Our findings elucidate upon the various extrinsic/intrinsic motivators for resident education and illustrate the need to re-examine the way in which neurology is being taught to off-service residents.
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 | 0.034 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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