Medical Assistance in Dying at a paediatric hospital
Bibliographic record
Abstract
This article explores the ethical challenges of providing Medical Assistance in Dying (MAID) in a paediatric setting. More specifically, we focus on the theoretical questions that came to light when we were asked to develop a policy for responding to MAID requests at our tertiary paediatric institution. We illuminate a central point of conceptual confusion about the nature of MAID that emerges at the level of practice, and explore the various entailments for clinicians and patients that would flow from different understandings. Finally, we consider the ethical challenges of building policy on what is still an extremely controversial social practice. While MAID is currently available to capable patients in Canada who are 18 years or older-a small but important subsection of the population our hospital serves-we write our policy with an eye to the near future when capable young people may gain access to MAID. We propose that an opportunity exists for MAID-providing institutions to reduce social stigma surrounding this practice, but not without potentially serious consequences for practitioners and institutions themselves. Thus, this paper is intended as a road map through the still-emerging legal and ethical landscape of paediatric MAID. We offer a view of the roads taken and considered along the way, and our justifications for travelling the paths we chose. By providing a record of our in-progress thinking, we hope to stimulate wider discussion about the issues and questions encountered in this work.
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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 | 0.007 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".