Surgical training in Guyana: the next generation
Bibliographic record
Abstract
The pioneering surgical training partnership between the Canadian Association of General Surgeons (CAGS) and the University of Guyana has successfully graduated 14 surgeons since 2006. The association has recruited 29 surgeons who have made 75 teaching visits to Guyana, and CAGS involvement has been critical to providing local credibility to the program, organizing the curriculum structure and developing rigorous examinations. The program is now locally sustained, with graduates leading a number of clinical hospital programs. The initial diploma qualification is being reassessed, as other specialties have introduced postgraduate Master of Medicine degree programs. Many graduates are pursuing additional training opportunities overseas, and almost all of those remaining in Guyana have returned to the tertiary centre from the regional hospitals. The program has succeeded in training surgeons and raising the standards of surgical care in Guyana, but broader health system efforts are necessary to retain surgeons in outlying regional hospitals.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".