PAHS: a Nepali project with international implications
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
Purpose The purpose of this paper is to describe the Patan Academy of Health Sciences (PAHS), an initiative for rural medical education in Nepal, and show its implications for rural medical education in other contexts. Design/methodology/approach The paper employs a methodology from the field of design to identify solution requirements based on an understanding of the operational context and evaluates how the initiative meets these requirements. Findings The PAHS model meets the extremely challenging requirements of the Nepali context for rural medical education by providing a model of education that is closely integrated with rural communities and working to develop leaders in community health. It faces important future challenges in obtaining sustainable funding and implementation of tele‐health. Practical implications On several levels, the project offers potential lessons for similar initiatives in North America: community health leadership; early and sustained community engagement; a pre‐medical course to bring students to a common standard; and role modeling by faculty. The approach will be of interest to those responsible for rural medical education in the developed and developing worlds. Originality/value The paper shows how the local context in rural medical education can be understood by evaluating desirability for users, viability and feasibility.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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