Child Non-Voluntary Euthanasia: When Quality Trumps Quantity
Bibliographic record
Abstract
For decades, the medical community has debated how best to alleviate the pain and suffering of patients while respecting moral values and judgement. Throughout these years, the field of medicine has birthed new methods and technology to enhance palliative care. However, at times, the patients’ conditions only worsen and the use of treatments and medications are to no avail. In these circumstances, euthanasia provides an alternative solution to the suffering of patients and their families. Euthanasia is defined as “knowingly and intentionally performing an act that is explicitly intended to end another person’s life.” 1 It is currently legal in only eight jurisdictions around the globe. However, in late 2013, Bill 52 by the Québec legislature proposed to decriminalize euthanasia as a medical aid for death. Not only has this initiated further debate on the topic in Canada, but it may encourage other governments to consider implementing euthanasia. This opinion piece discusses how legalizing euthanasia would serve the interests of the patient and healthcare system, with a particular focus on child euthanasia
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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 | 0.002 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".