Operationalizing the Intolerable Suffering Criterion in Advance Requests for Medical Assistance in Dying for People Living with Dementia in Canada
Bibliographic record
Abstract
In Canada, there is interest in expanding medical assistance in dying (MAID) to include advance requests (AR) for people living with dementia (PLWD). However, operationalizing the intolerable suffering criterion for MAID in ARs for PLWD is complicated by the Canadian legal context-in which MAID is understood as a medical intervention and suffering is conceptualized as subjective-and the degenerative nature of dementia. ARs that express a wish to receive MAID when the PLWD develops pre-specified impairments are problematic because people are unlikely to accurately predict the conditions that will cause intolerable suffering. ARs that express a wish to receive MAID when the PLWD exhibits pre-specified behaviors that likely represent suffering are problematic because they are inconsistent with the subjective conceptualization of suffering. Further research is required to determine whether adopting an objective conceptualization of suffering is justified in these cases and, if so, how to reliably identify intolerable suffering in PLWD.
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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 | 0.004 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".