Is It Ethical for Patients with Renal Disease to Purchase Kidneys from the World's Poor?
Bibliographic record
Abstract
BACKGROUND TO THE DEBATE: In many countries, the number of patients waiting for a kidney transplant is increasing. But there is a widespread and serious shortage of kidneys for transplantation, a shortage that can lead to suffering and death. One approach to tackling the shortage is for a patient with renal disease to buy a kidney from a living donor, who is often in a developing country, a sale that could--in theory at least--help to lift the donor out of poverty. Such kidney sales are almost universally illegal. Proponents of kidney sales argue that since the practice is widespread, it would be safer to formally regulate it, and that society should respect people's autonomous control over their bodies. Critics express concern about the potential for exploitation and coercion of the poor, and about the psychological and physical after-effects on the donors of this illegal kidney trade.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".