Developing Orthopaedic Trauma Capacity in Uganda
Bibliographic record
Abstract
Uganda, like many low-income countries, has a tremendous volume of orthopaedic trauma injuries. The Uganda Sustainable Trauma Orthopaedic Program (USTOP) is a partnership between the University of British Columbia and Makerere University that was initiated in 2007 to reduce the consequences of neglected orthopaedic trauma in Uganda. USTOP works with local collaborators to build orthopaedic trauma capacity through clinical training, skills workshops, system support, technology development, and research. USTOP has maintained a multidisciplinary approach to training, involving colleagues in anaesthesia, nursing, rehabilitation, and sterile reprocessing. Since the program's inception, the number of trained orthopaedic surgeons practicing in Uganda has more than doubled. Many of these newly trained surgeons provide clinical care in the previously underserved regional hospitals. The program has also worked with collaborators to develop several technologies aimed at reducing the cost of providing orthopaedic care without compromising quality. As orthopaedic trauma capacity in Uganda advances, USTOP strives to continually evolve and provide relevant support to colleagues in Uganda.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".