Revisiting the anaesthesiologist’s role during organ procurement
Bibliographic record
Abstract
As organ transplantation science continues to mature, both physicians and the public face challenges defining death and, subsequently, caring for an individual when they are deemed eligible for organ procurement. This paper revisits the anaesthesiologist's role with respect to the provision of analgesic medication at the time of organ procurement. It provides a historical overview of the ethics of organ procurement, explaining how the definition of brain death and the ethical principle of the 'dead donor rule' have shaped the practice of organ procurement. It concludes by suggesting that a re-framing of the ethics of organ procurement may be necessary in order for anaesthesiologists to meet their ethical obligation of preventing harm to organ donors while maintaining public trust in the medical profession.
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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 | 0.034 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.042 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.010 | 0.023 |
| Insufficient payload (model declined to judge) | 0.001 | 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".