“For Their Own Good”: A Response to Popular Arguments Against Permitting Medical Assistance in Dying (MAID) where Mental Illness Is the Sole Underlying Condition
Bibliographic record
Abstract
Canada is approaching its federal government's review of whether patients should be eligible for medical assistance in dying (MAID) where mental illness is the sole underlying medical condition, and when "natural death" is not "reasonably foreseeable". For those opposed, arguments involve the following themes: capacity, value of life, vulnerability, stigma, irremediability, and the role of physicians. It has also been suggested that those who are able-bodied should have to kill themselves, even though suicide may be painful, lonely, and violent. Opponents of MAID for severe, refractory suffering due to mental illness imply that it is acceptable to remove agency from such patients on paternalistic grounds. After years of efforts to destigmatise mental illness, these kinds of arguments effectively declare all patients with mental illness, regardless of capacity, unable to make considered choices for themselves. The current paper argues that decisions about capacity must be made on an individual-patient basis. Given the rightful importance granted to respect for patient autonomy in liberal democracies, the wholesale removal of agency advocated by opponents of a permissive MAID regime is difficult to reconcile with Canadian constitutional values.
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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 | 0.026 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.040 | 0.056 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.057 | 0.085 |
| Insufficient payload (model declined to judge) | 0.004 | 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".