Bibliographic record
Abstract
Euthanasia is a way of ending a person's life who has been suffering from intolerable pain or undignified death. It means ending the life a person who is suffering from some terminal or mental illness which is making his life miserable as well as painful or ending a life which is not worth living. Many patients in a persistent vegetative state or else in terminal illness do not want to be a burden on their family members. In such cases euthanasia can be considered as a way to upheld the ‘Right to life’ by honouring ‘Right to die’ with dignity. But the main problem is that how should one decide whether his life is any longer worth living or not. Euthanasia may be classified as active or positive euthanasia, passive or negative euthanasia, voluntary euthanasia, involuntary euthanasia and non-voluntary euthanasia. Euthanasia is legalized in the Netherlands, Colombia, Belgium, Luxembourg, Albania and Canada. In India, passive euthanasia is legalized but not active euthanasia. The question will always arise about the legality, conduct and sanctity of euthanasia especially in country like ours, where there are different views over the moral, ethical, and legal issues of euthanasia.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".