Choosing death in unjust conditions: hope, autonomy and harm reduction
Bibliographic record
Abstract
In this essay, we consider questions arising from cases in which people request medical assistance in dying (MAiD) in unjust social circumstances. We develop our argument by asking two questions. First, can decisions made in the context of unjust social circumstance be meaningfully autonomous? We understand 'unjust social circumstances' to be circumstances in which people do not have meaningful access to the range of options to which they are entitled and 'autonomy' as self-governance in the service of personally meaningful goals, values and commitments. People in these circumstances would choose otherwise, were conditions more just. We consider and reject arguments that the autonomy of people choosing death in the context of injustice is necessarily reduced, either by restricting their options for self-determination, through their internalisation of oppressive attitudes or by undermining their hope to the point that they despair.Second, should MAiD be available to people in such circumstances, even when a sound argument can be made that the agents in question are autonomous? In response, we use a harm reduction approach, arguing that even though such decisions are tragic, MAiD should be available. Our argument engages with relational theories of autonomy as well as recent criticism raised against them and is intended to be general in application, although it emerges in response to the Canadian legal regimen around MAiD, with a focus on recent changes in Canada's eligibility criteria to qualify for MAiD.
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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 | 0.006 | 0.002 |
| 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 | 0.001 | 0.003 |
| 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; 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".