Bibliographic record
Abstract
Currently, in the United States, there is no legal obligation for medical professionals or civil courts to uphold patients' Advance Directives (ADs) regarding end-of-life care. The applicability and standing of ADs prepared by Alzheimer's patients is a persistent issue in bioethics. Those who argue against giving ADs full status take two main approaches: (1) appealing to beneficence on behalf of the Alzheimer's patient and (2) claiming that there is no longer any personal equivalence between the AD's creator and the subject of the AD. In this paper, I present profound arguments against both approaches. Firstly, I argue that the principle of beneficence cannot apply in the case of Alzheimer's patients, and, secondly, that the moral and legal authority of the AD need not depend on strict equivalence of personal identity. I conclude by arguing that valid ADs protect the dignity and autonomy of Alzheimer's patients and that, therefore, there are moral obligations to uphold ADs which should be reflected in public policy and legislation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.013 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".