Developing family practice to respond to global health challenges: The Besrour Papers: a series on the state of family medicine in the world.
Bibliographic record
Abstract
OBJECTIVE: To assess family medicine's role in developing strong, coordinated, community-based, integrated health care systems in low-resource settings globally. COMPOSITION OF THE COMMITTEE: A subgroup of the Besrour Centre of the College of Family Physicians of Canada developed connections with selected international colleagues with expertise in international family medicine practice, health systems and capacity building, and teaching to map family medicine globally and give a bird's eye view of family medicine internationally. METHODS: Following a background literature review, the authors collectively reflected on their substantial international experience to attempt to describe best practices for various contexts. REPORT: With the failure of vertical, disease-oriented models to provide sustained improvements in health outcomes, the need to develop integrated primary care involving the most appropriate health professionals for differing contexts is becoming apparent worldwide. Health system planning is required to develop policies on health professional training to achieve this. Advocating and offering appropriate incentives for, and coordination of, local opportunities within the health system also becomes paramount. The adaptability and generalist nature of family medicine allows it to respond to the unique needs of a given population. Family physicians with adequate financial and physical resources can function most effectively as members of interdisciplinary teams, thus providing valuable, comprehensive health services in any area of the world.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".