Physician-assisted death does not violate professional integrity
Bibliographic record
Abstract
Franklin Miller's thoughtful reply to our paper asks pointed questions about the role of the physician qua physician in physician-assisted death. Would making assisted dying available to treatment-resistant depressed people necessarily affect the professional integrity of healthcare professionals, as Dr Miller asserts? Dr Miller agrees with us on a number of crucial points: It is possible that some patients with treatment-resistant major depression are competent to make the decision to ask for assisted dying; it is possible that some such patients could make a rational choice if they requested such assistance. He also is generally supportive of physician-assisted death, at least for ‘terminally ill’ patients. He defines a terminally ill patient as someone who has a ‘predictable short life span and will die soon regardless of medical intervention’. We disagree with his conceptualisation of ‘terminal illness’ as requiring that death occurs within 6–12 months, given the existence of illnesses like Amyotrophic lateral sclerosis (ALS) or certain prostate cancers that are commonly considered to be terminal illnesses and that are taking their predictable course sometimes over years. If, all other things being equal, an illness is going to kill a patient at some point down the track, it surely should qualify for the label ‘terminal illness’. However, we will accept his definition for the sake of the argument. Dr Miller supports the availability of assisted dying for patients likely to die from that illness within 6 months from the day their request for assisted dying has been made. He broadly holds the kind of view we aimed to sway with our analysis. Apparently, we failed. Dr Miller thinks that physician-assisted death must be consistent with professional integrity, requiring that it is consistent with ‘the proper goals of medicine and the specific duties incumbent on clinicians in acting to realize …
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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 | 0.019 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.014 | 0.084 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".