Bibliographic record
Abstract
There has been much discussion regarding the acceptable use of sedation for palliation. A particularly contentious practice concerns deep, continuous sedation given to patients who are not imminently dying and given without provision of hydration or nutrition, with the end result that death is hastened. This has been called 'early terminal sedation'. Early terminal sedation is a practice composed of two legally and ethically accepted treatment options. Under certain conditions, patients have the right to reject hydration and nutrition, even if these are life-sustaining. Patients are also entitled to sedation as palliation for intolerable, intractable suffering. Though early terminal sedation is thought to be rare at present, the changing nature of palliative medicine suggests its use will increase. Arguments regarding early terminal sedation have failed to recognize early terminal sedation as a distinct legal and ethical entity. It can be seen as both the simple sum of treatment refusal and sedation for palliation, analogous to terminal sedation. It can also be seen as an indivisible palliative treatment, more analogous to assisted suicide or euthanasia. But ultimately, it is wholly analogous neither to terminal sedation given when death is imminent, nor to assisted suicide or euthanasia. This paper contends that early terminal sedation should be considered as a distinct entity. Such a reconception promises to provide a way forward in the debate, practice and policy regarding this contentious area of palliative medicine.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.026 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".