The International Association of Student Surgical Societies: creation and dissemination
Bibliographic record
Abstract
SUMMARY: While initiatives exist to address the worldwide need for surgeons, none involve a student-driven solution from low- and middle-income countries (LMICs). In response to falling surgical residency enrolment in South Africa, the students at the University of Cape Town (UCT) founded the UCT Surgical Society and were subsequently instrumental in creating the International Association of Student Surgical Societies (IASSS). The IASSS currently includes 25 societies in 15 countries. Its primary objectives are building sustainable networks for mutually beneficial exchanges, supporting student-driven projects, understanding issues impacting student interest in surgery, promoting global fellowship, creating an elective database and providing assistance to student surgical societies. The IASSS is a unique student-led initiative trying to improve surgical care in LMICs.
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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 | 0.066 | 0.139 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.054 | 0.032 |
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".