Medical Certificates of Death: First Principles and Established Practices Provide Answers to New Questions
Bibliographic record
Abstract
Voluntary euthanasia became legal in Quebec in December 2015,1 although the legislation is currently the subject of litigation. In addition, physician-assisted death will become legal across Canada in February 2016, barring an extension on the deadline being given by the Supreme Court of Canada. There are many questions about how physician-assisted death should be regulated. One as-yet-unanswered question is “Should physician-assisted death be recorded anywhere on the medical certificate of death?” If so, a second question follows: “How should it be recorded — as manner and/or cause?” and if the latter, “Which category of cause: immediate, antecedent or underlying?”To address these questions, we reviewed the purposes of medical certificates of death, the various medical certificates of death in use across Canada, death certificates in jurisdictions that already permit physician-assisted death and the law with respect to life insurance in Canada and abroad. We found that, by turning to first principles and established practices regarding completion of medical certificates of death, we were able to find sensible answers to these questions.
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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 | 0.134 | 0.292 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.017 |
| Insufficient payload (model declined to judge) | 0.002 | 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".