Right to Die in Constitutional Jurisprudence: An Indian Perspective with Comparative Dimensions
Bibliographic record
Abstract
To give a holistic picture, the paper uses a comparative approach, which examines the legal provisions and judicial pronouncements of major jurisdictions, including the United States, the United Kingdom, Canada, and the Netherlands / Belguium. This comparative study sheds light on various approaches to the end-of-life decision-making, including the outright banning of active euthanasia and more controlled models of physician-assisted dying. Another issue the research discusses is the ongoing ethical, medical, and social issues relating to the right to die including the slippery slope argument, definition of the unbearable suffering, and the use of palliative care. It can be concluded that although India has gone a long way in protecting individual dignity in the end life, a subtle and all-inclusive legal framework is still necessary to help in coming out of the intricacies of this basic human predicament.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.011 | 0.044 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".