Innovative Models for Developing Post-Masters Curriculum in End-of-Life Care
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Given two million deaths annually in the U. S., social work education and training have been cited as woefully inadequate in end-of-life care. In response, two of the authors developed two post-Masters programs in end-of-life care for social work. This paper describes their curricula and the methods used to evaluate both programs, including measurements of the participants' self-efficacy before and after the programs. The analysis of evaluative data from the classroom and first-year field experiences of each program shows that participants increased their levels of skill, knowledge, values, and self-efficacy. Key Words: End-of-life caresocial work curriculumpost-masters certificate trainingcurriculum on end-of-life careleadership in end-of-life care
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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