Role of Collaborative Academic Partnerships in Surgical Training, Education, and Provision
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
The global disparities in both surgical disease burden and access to delivery of surgical care are gaining prominence in the medical literature and media. Concurrently, there is an unprecedented groundswell in idealism and interest in global health among North American medical students and trainees in anesthesia and surgical disciplines. Many academic medical centers (AMCs) are seeking to respond by creating partnerships with teaching hospitals overseas. In this article we describe six such partnerships, as follows: (1) University of California San Francisco (UCSF) with the Bellagio Essential Surgery Group; (2) USCF with Makerere University, Uganda; (3) Vanderbilt with Baptist Medical Center, Ogbomoso, Nigeria; (4) Vanderbilt with Kijabe Hospital, Kenya; (5) University of Toronto, Hospital for Sick Children with the Ministry of Health in Botswana; and (6) Harvard (Brigham and Women's Hospital and Children's Hospital Boston) with Partners in Health in Haiti and Rwanda. Reflection on these experiences offers valuable lessons, and we make recommendations of critical components leading to success. These include the importance of relationships, emphasis on mutual learning, the need for "champions," affirming that local training needs to supersede expatriate training needs, the value of collaboration in research, adapting the mission to locally expressed needs, the need for a multidisciplinary approach, and the need to measure outcomes. We conclude that this is an era of cautious optimism and that AMCs have a critical opportunity to both shape future leaders in global surgery and address the current global disparities.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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