Bibliographic record
Abstract
Abstract As more jurisdictions permit a medically assisted death (MAiD)—and none of the jurisdictions that introduced MAiD has seen any serious attempts at reversing it—the focus of debate has turned to the question of what is a morally defensible access threshold for MAiD. This permits us to rethink the moral reasons for the legalization or decriminalization of assisted dying. Unlike what is assumed in many legislative frameworks, unbearable suffering caused by terminal illness is not what oftentimes motivates decisionally capable people to request MAiD. This matters when access thresholds are considered. The argument advanced in this essay is that because MAiD is less destructive to people’s relationships and less harmful than medically unsupervised suicide, access to medical assistance in dying should be open to anyone who is legally capacitated and who persistently requests such assistance.
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 | 0.043 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.089 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.019 | 0.027 |
| 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".