The problem of value change: Should advance directives hold moral authority for persons living with dementia?
Bibliographic record
Abstract
As the prevalence of dementia rises, it is increasingly important to determine how to best respect incapable individuals' autonomy during end-of-life decisions. Many philosophers advocate for the use of advance directives in these situations to allow capable individuals to outline preferences for their future incapable selves. In this paper, however, I consider whether advance directives lack moral authority in instances of dementia. First, I introduce several scholars who have argued that changes in peoplewith dementia's values throughout disease progression reduce the validity of their advanced wishes. I then outline Karin Jongsma's rejection of this claim, which she calls the "losing and choosing" distinction. Jongsma argues that changes in people with dementia's values should not be respected, because they are unchosen and dictated by the disease. I critique her claim that the process of value change is morally relevant when determining which values we respect. I argue that if individuals with dementia are capable of valuing, their contemporary values should be respected, even when they conflict with past preferences outlined in an advance directive. As such, situations of value change diminish the moral authority of advance directives for individuals with dementia.
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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 | 0.068 | 0.142 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.112 |
| Scholarly communication | 0.013 | 0.026 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.019 | 0.030 |
| Insufficient payload (model declined to judge) | 0.002 | 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".