<scp><i>Transfusion Camp</i></scp> for medical students in Rwanda: A multidisciplinary initiative teaching graduating medical students how to utilize blood products and derivatives safely in district hospitals
Bibliographic record
Abstract
While safe surgical and anesthetic practice is dependent upon a sustainable blood supply, access to education in transfusion medicine (TM) is often lacking in low-and middleincome countries.1 Transfusion Camp (TC) is an educational initiative that aims to provide a strong baseline level of TM knowledge for non-TM trainees using a curriculum that combines didactic and team-based learning, 2 and was shown to be effective in a 2022 pilot course, 3 and a subsequent train-the-trainer course expansion for 51 Rwandan clinicians and laboratory technicians in 2023.4 The course expansion in 2023 included focus group sessions on TM education that recommended the implementation of an annual multi-day TC for graduating medical students.4 The TC curriculum was provided for the first time
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.045 | 0.032 |
| Insufficient payload (model declined to judge) | 0.031 | 0.012 |
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".