Sherbrooke - Montevideo: A socially responsible international collaboration to foster family medicine
Bibliographic record
Abstract
BACKGROUND: The World Health Organization advocates for faculties of medicine to orient health professional education toward the needs of the populations graduates are to serve and to include a greater emphasis on primary health care. It was in this framework that in 2007, the Faculty of Medicine and Health Sciences at the Université de Sherbrooke (FMHS-UdeS) in Canada and the Facultad de Medicina de la Universidad de la Republica (FMUdelaR) in Montevideo, Uruguay developed a comprehensive collaboration to sustain the development of family medicine in both universities through education, practice and research. ACTIVITIES AND OUTCOMES: In addition to information sharing through email and teleconferencing, this five year collaboration has included 28 bilateral visits by the two institutions' teachers and leaders. During these visits, Uruguayan members participated in workshops and benefited from exchanges during educational and clinical activities. Interactions led to the improvement of their skills as teachers of family medicine with an emphasis on clinical teaching, supervision, feedback to learners in clinical evaluations, use of various educational methods, use of standardized patients for teaching and evaluation, and research. FMHS-UdeS members learned about the community aspects of family medicine in Uruguay and reflected on how these could be implemented to the benefit of Canadians. CONCLUSIONS: The international collaboration forged between the FMHS-UdeS and the FMUdelaR represents a socially responsible endeavor that has been highly rewarding for all involved. It represents a significant learning opportunity for each group aiming to better prepare physicians to serve as primary health care providers in their communities.
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.
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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".