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Record W4225242392 · doi:10.1017/s0738248021000547

Heart Transplants, Legislating Death, and Disruptive Anti-Apartheid Advocacy

2022· article· en· W4225242392 on OpenAlexfundno aff
Meredith Terretta

Bibliographic record

VenueLaw and History Review · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSolidarityHuman rightsLawPolitical scienceDeclarationPrinciple of legalitySociologyPolitics

Abstract

fetched live from OpenAlex

In December 1967, South African surgeon Christiaan Barnard astonished the world by becoming the first to successfully transplant a human heart. In the months that followed, a French Anti-Apartheid Committee proposed an international law to prohibit the harvest of prisoners' organs as French activists combined human rights and legal strategies to question the legality and ethics of Barnard's success. From a South Africa eager to present itself as modern and technologically advanced came an attempt to legislate use of organs from “living donors” in unspecified “authorized institutions.” In physicians' professional discussion of donor selection at an international heart transplantation symposium that Barnard convened in Cape Town, capital punishment figured as a proxy for race. Moving between South Africa, France and the United States, this article examines anti-apartheid activism, legislative innovation, and heart surgeons' attempts to normalize cerebral death and increase donors that followed the medical breakthrough in Cape Town, South Africa. It contributes to human rights history by showing how the French Anti-Apartheid Committee drew on transnational advocacy networks and legal strategies that predated the Universal Declaration of Human Rights, emphasizing collective over individual rights, deploying strategies of rupture, and actively pursuing a racially conscious, anticolonial solidarity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.231
Teacher spread0.181 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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