Do Genetic Relationships Create Moral Obligations in Organ Transplantation?
Bibliographic record
Abstract
In 1999, a case was described on national television in which a woman had enlisted onto an international bone marrow registry with the altruistic desire to offer her bone marrow to some unidentified individual in need of a transplant. The potential donor then was notified that she was a compatible match with someone dying from leukemia and gladly donated her marrow, which cured the recipient of the disease. Years later, though, the recipient developed end-stage renal disease (ESRD), a consequence of the high-dose chemotherapy she received earlier to destroy her stem cells and prepare her for the bone marrow transplant. Finding a suitable donor for a kidney transplant proved extremely difficult. Desperate, she requested that the donor registry personnel help her locate the individual who earlier was determined to be a compatible donor and asked this now-identifiable individual to consider donating one of her two normally functioning kidneys for a kidney transplant.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".