The Impact on Patient Trust of Legalizing Physician Aid in Dying
Bibliographic record
Abstract
Little empirical evidence exists to support either side of the ongoing debate over whether legalizing physician aid in dying would undermine patient trust. To address this question, a random national sample of adults were asked their level of agreement with a statement that they would trust their doctor less if euthanasia were legal [and] doctors were allowed to help patients die. Almost 60% of subjects disagreed, and only 20% agreed, that legalizing euthanasia would cause them to trust their personal physician less. The remainder were neutral. These attitudes were the same in men and women, but older patients and blacks had somewhat more agreement that euthanasia would lower trust. Still, overall, only a quarter of elderly patients (age 65+) and a third of blacks thought that physician aid in dying would lower trust. Despite the widespread consensus that legalizing physician aid in dying would seriously threaten or undermine trust in physicians, there is very little evidence, either in this study or elsewhere, to support this view.
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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 | 0.140 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".