MétaCan
Menu
Back to cohort
Record W3081190780 · doi:10.3138/cbmh.376-072019

Race, Kidney Transplants, Immunosuppression Research, and White Supremacy under Apartheid, 1960–80

2020· article· en· W3081190780 on OpenAlexaffvenue
Simonne Horwitz

Bibliographic record

VenueCanadian Journal of Health History · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsWhite supremacyTransplantationWhite (mutation)EliteRace (biology)PoliticsPolitical scienceGender studiesMedicineSociologyLawSurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.189
GPT teacher head0.344
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Health HistorySame topicAfrican cultural and philosophical studiesFrench-language works237,207