Response to “Intrafamilial Organ Donation Is Often an Altruistic Act” by Aaron Spital (CQ Vol 12, No 1) and “Donor Benefit Is the Key to Justified Living Organ Donation,” by Aaron Spital (CQ Vol 13, No 1): Motivation, Risk, and Benefit in Living Organ Donation: A Reply to Aaron Spital
Bibliographic record
Abstract
In a recent article in this journal, we argued that living organ donation from a parent to a child should be described as a beneficent rather than an altruistic act. Emotional relationships can generate an obligation of beneficence to help those with whom we have these relationships. This may involve an obligation for a parent to donate an organ to a child, even though it entails some risk to the parent. The parent's donation is not altruistic because altruistic acts are not obligatory but optional, and they are motivated solely or primarily by other-regarding concerns. In contrast, donor parents' other-regarding concerns are inseparable from their own self-regarding concerns. An individual who donates to a stranger is acting altruistically. She may choose to help others to whom she is not emotionally related for a variety of reasons—sympathy, compassion, generosity, or a desire to give something back to humanity. But she does not have an obligation to do so. Although she may benefit as a consequence of donating, this is not her reason for donating. Instead, her action is motivated by a concern for the recipient's own sake. This is what makes the donation altruistic, and it can be justified without any expectation of benefit to the donor. However, although the potential competent donor decides whether the donation is in her best interests, physicians have the right to refuse to perform a transplant if the risks to the donor are too great or the potential benefits to the recipient are too small.
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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 | 0.014 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.071 | 0.081 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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".