Narratives in family medicine: a global perspective: The Besrour Papers: a series on the state of family medicine in the world.
Bibliographic record
Abstract
OBJECTIVE: To explore the development of family medicine postgraduate training in countries with varying levels of resources at different stages of development of the discipline. COMPOSITION OF THE COMMITTEE: Since 2012, the College of Family Physicians of Canada has hosted the Besrour Conferences to reflect on its role in advancing the discipline of family medicine globally. The Besrour Narrative Working Group was conceived in 2012 at the first Besrour Conference. Their mandate was to use narrative and appreciative inquiry to gather stories of family medicine worldwide. The working group comprised members of various academic departments of family medicine in Canada and abroad who attended the conferences. METHODS: A consultation process with our partners from lower-middle-income countries was undertaken from 2012 to 2014. Stories were sought from each global partner institute with ties to Canadian family medicine departments. An appreciative inquiry approach was chosen to elicit narratives. Thematic analysis was used to search for common threads and important elements of success that could serve to inform other initiatives in other nations and, in turn, offer hope for greater effect. REPORT: Sixteen narrative stories have been collected so far. These stories highlight insightful solutions, foresight, perseverance, and ultimately a steadfast belief that family medicine will improve the health system and the care provided to the citizens of each nation. Seventeen themes were elucidated by 3 independent Canadian readers. At a subsequent workshop, these themes were validated by Besrour Centre members from Canada and elsewhere. The linkage between the thematic analysis and the experiences of various schools helps to illustrate both the robustness and the usefulness of the narratives in exploring generalizable observations and the features supporting success in each institute. CONCLUSION: If we are to understand, and contribute to, the development of family medicine throughout the world (a key objective of the Besrour Centre), we must begin to hear each others' stories and search for ways in which our collective story can advance the discipline.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".