Race, Kidney Transplants, Immunosuppression Research, and White Supremacy under Apartheid, 1960–80
Bibliographic record
Abstract
This paper uses the history of kidney transplantation in South Africa as a lens through which to write a racialized, micro history that illustrates the politics of medical discoveries and medical research at one of South Africa's most prestigious medical research universities, the University of the Witwatersrand (Wits) in Johannesburg. Between 1966 and the 1980s, the Wits team became the most advanced and prolific kidney transplant unit in the country. Yet the racist, oppressive Apartheid system fundamentally shaped these developments. Transplantation, as this paper shows, became an elite medical procedure, performed by a select group of white doctors on mostly white patients. For these doctors, transplantation showed their medical prowess and displayed the technical advancements they were able to make in research and clinical practice as they strove to position South Africa as a significant international player in medical research, despite academic boycotts and increasing sanctions. Transplantation became a symbol of white supremacy in a country where the black majority were excluded from anything but the most basic health care.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.021 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".