Bibliographic record
Abstract
Euthanasia is a good death in Greek. According to Wikipedia, «euthanasia» is the termination of a person's life in a quick, painless way. Euthanasia is used in people who have incurable diseases and no longer want to suffer from pain, their condition. The term «euthanasia» was first used by F. Bacon to denote easy death in the 17th century. Since 2020, certain types of euthanasia are legally allowed in Belgium, Luxembourg, the Netherlands, Portugal, Switzerland, Germany, Canada, parts of Australia, and in some of the sUS states. Palliative and hospice care is sometimes seen as a relative alternative to euthanasia. There are two types of euthanasia – active, which involves the administration of a dying person, drugs that cause rapid death, and passive – intentional cessation of maintenance therapy to the patient. Active euthanasia is often considered suicide with medical help, if the doctor gives the patient a drugs that will shorten his life at the request of the patient.. In Ukraine, the actions of a doctor for euthanasia are considered premeditated murder. The coronavirus pandemic has shown that many countries of the world are ready to introduce passive euthanasia, that is, in the event of mass morbidity, not only ideas are spread, but also projects about the inaccessibility of medical care for the elderly in order to save young people, about limiting the hospitalizations of elderly people with a serious illness, which requires mechanical ventilation with a shortage of ventilators and hospitals that can provide oxygenation. The debate over euthanasia revolves around the following issues: people have the right to self-determination and independent choice of destiny; helping the sick people to die may be a better choice than suffering; the difference between active and passive euthanasia is insignificant; permission for euthanasia does not necessarily lead to adverse consequences. Disputes often take place at the ethical or religious level. Opponents of euthanasia defend the right for life under any circumstances, and the adoption of the law expands the cohort of patients with euthanasia and hope for life. Keywords: euthanasia, death, life, consciousness, stroke.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.094 | 0.030 |
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".