Medical, Ethical, and Legal Conflicts Surrounding Euthanasia in Argentina. Its Global Implications
Bibliographic record
Abstract
Euthanasia is one of the most controversial aspects, not only in medicine but also in other fields such as ethics, law, sociology, ontology, philosophy, etc. This is because it involves a decision in which a patient's life is ended with their absolute consent and supervised by a medical team. Currently, only ten countries have legalized euthanasia. The first of these was the Netherlands on April 1, 2002, and subsequently followed by Belgium (2002), Luxembourg (2009), Colombia (2014), Canada (2016), Spain (2021), New Zealand (2021), Portugal (2023), Cuba (2023), and Ecuador (2024). Uruguay has approved the euthanasia bill in the Chamber of Deputies (2025), and its respective treatment in the Senate is still pending for it to become law. Thus, of the 195 currently recognized countries, only 5.12% have legalized euthanasia. Given that euthanasia is a highly controversial topic due to its moral, ethical, and regulatory contradictions, there is an urgent need to implement a corresponding regulatory framework in those countries that still lack one.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".