Evolution of Family Medicine in Kenya (1990s to date): a case study
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
Background: Successful Family Medicine practices and academic programmes are found in western countries, Australia, Singapore, Cuba and among other non-western countries. Documenting the enablers and challenges of different contexts would, it is hoped, inform current and future process of developing academic and practice programmes in Family Medicine in countries where the discipline is starting.
 
 Methods: A qualitative study was undertaken that conducted a focused literature review and in-depth interviews of key informants on the early development of the Family Medicine in Kenya. All interviews were audio recorded. Pattern matching, explanation building, time-series analysis and logic models were used in analysis.
 
 Results: Representatives of Kenyan and foreign organisations worked well as a team to write and implement the first curriculum of Family Medicine. The challenges include lack of teachers; starting a graduate programme in medical schools that did not have one and starting these health services delivery departments in a system that did not have any.
 
 Conclusions: The main enablers of the evolution of Family Medicine in Kenya include committed partnerships and teamwork among Kenyan and non-Kenyan stakeholders. The challenges include the lack of Kenyan teachers of the programme and the introduction of a new discipline.
 
 (Full text of the research articles are available online at www.medpharm.tandfonline.com/ojfp)
 
 S Afr Fam Pract 2017; DOI: /10.1080/20786190.2016.12481420
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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