The cost of autonomy: estimates from recent advances in living donor kidney transplantation
Bibliographic record
Abstract
Autonomy, an individual's right to make personal decisions regarding his/her own health, represents one of the major ethical principles of medicine. While there are many examples citing the benefits this right provides for the individual, the impact that personal healthcare decisions have on others is often neglected. Here, evidence from end-stage renal disease is reviewed to hypothesise the creation of a universal kidney donation programme that although provides unparalleled benefits to its citizens, relies on the participation of a large proportion of the society. Given that this essay also addresses the public's major concerns regarding kidney donation, one of the only remaining implementation barriers is the individuals' right not to participate. Therefore, irrespective of the humane and complex emotionally laden reasons for not enrolling in such programmes, this essay provides some estimates of the significant resource and quality of life costs associated with autonomy. Assuming humans are competent to make informed personal healthcare choices, similar to recent efforts to increase awareness about the negative impact of certain lifestyle choices on global warming, citizens should also be better informed about the medical costs their autonomy has on society.
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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 | 0.006 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".