Setting organ allocation priorities: Should we care what the public cares about?
Bibliographic record
Abstract
OBJECTIVE: To investigate the nature of public preferences in the allocation of donor liver grafts for transplantation. DESIGN: A qualitative study based upon the transcripts of four focus groups. SETTING: Derby, Derbyshire, UK. PARTICIPANTS: Twenty-two members of the public in the Derby locality, recruited to one of four focus groups through local community groups. MAIN OUTCOME MEASURES: The views of focus group members as to the importance (or otherwise) of several potential discriminating factors which could be used in the prioritization of patients on the waiting list for liver transplantation were ascertained. The factors included were expected posttransplantation prognosis, the age of the patient, whether the patient was personally responsible for their illness, the time spent on the waiting list, re-transplantation or primary transplant and the social background of the patient. RESULTS AND CONCLUSIONS: Group members explored the criteria from a number of perspectives, and made some unexpected linkages between the criteria and wider moral principles. They did not come to firm conclusions about the relative desirability of the criteria, but their approach was notably flexible and thoughtful, with the exception of a few instances where they appeared to resort to arguments based on what is 'obvious' and 'natural'. The results of these discussions suggest that members of the public would be able and willing to respond positively to a more open and consultative system of donor liver prioritization than exists presently within the UK.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".