Utilizing Case-Based Learning and a Modified Lasater Clinical Judgment Rubric (LCJR) for Clinical Judgment Skills
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
It is challenging to assess clinical judgment skill development. The purpose of this study was to understand how case-based learning (CBL) and an innovation to the Lasater Clinical Judgment Rubric (LCJR) can be used to facilitate and assess clinical judgment skills. A pilot study using a quasi-experimental design was conducted to develop and assess clinical judgment competencies. Data were collected through a pretest/posttest, CBL worksheets, and modified LCJRs. Pretest/posttest results were statistically significant. Significant results were not shown by LCJR data as a whole, but one component demonstrated significant change. Considering the study's brevity, any significant LCJR results are promising.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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