Overview: eutanasia and methods of antanasia of animals
Bibliographic record
Abstract
The attention of modern society to euthanasia has increased because many centuries ago, a social phenomenon was established, associated not only with the achievements of medical science but also with changing values of the individual and society, actualizing the problem, considering them family members. The number of euthanasia animals has fallen sharply in recent decades. This was facilitated by the adoption of animal protection programs, as well as increasing the social value of animals – the consideration of animals not only as property but also the recognition of some of their rights to welfare. The article discusses the ethical aspects of veterinary practice related to euthanasia, as the relationship between animal and human is constantly changing, ultimately changing the veterinary profession's landscape. When carrying out any manipulations, the relationship between the animal and the owner should be considered. In addition, the rapid development of medicine leads to new opportunities for animal care and the creation of ethical and moral dilemmas regarding the possible improvement of patients' lives. Particular attention is paid to the impact of euthanasia on the morale of the veterinarian, as well as the level of preparation for this manipulation and further communication with the owners. The article presents the preconditions and indications for this procedure and the research results on the leading causes of euthanasia. Particular attention is paid to the euthanasia of laboratory and warm-blooded animals for use in biological experiments. Methods and methods of euthanasia of animals following the “European Convention for the Protection of Vertebrate Animals” and the Law of Ukraine “On Protection of Animals from Cruelty”, which are divided into “recommended”, “acceptable”, “conditionally acceptable”, “unacceptable”. The information on the list of possible drugs for euthanasia is given. The classification of euthanasia methods and the use of humane methods of ending animal life is given in the example of Canadian shelters.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.021 |
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".