Criminal Liability for Violation of the Quarantine Regime in the Conditions of the COVID-19 Pandemic
Bibliographic record
Abstract
Infectio us diseases is the subject of increased attention, which causes concern in society throughout the world. In this context, and in order to implement preventive measures, democratisation and protection of human rights are increasingly combined with measures of state coercion. The new challenge today is the COVID-19 pandemic, recognised by the World Health Organisation. Today is pandemic has forced a qualitative rethink of approaches to responding to the health challenges of both individuals and nations. States have gradually begun to use a variety of health measures, including policy and legal instruments, to control the spread and effects of COVID-19. Some states have resorted to criminal law to apply it to health care to prevent infection with COVID-19. A comparative analysis of the features of criminal liability for violating the quarantine regime in the European Union and Ukraine showed the variability of the structures of crimes, however, the unity of difficulties in qualifying socially dangerous acts and, as a result, the impossibility of effective prosecution. It was stated that there was an urgent need for States to recognise that the new coronavirus was a serious health emergency, but that the criminalisation related to COVID-19 was a worrying trend towards prolonging human rights restrictions. Experts are increasingly questioning, in particular, the feasibility and effectiveness of existing criminal law measures on health care and their fragmentary compliance with internationally declared human rights standards, which in the long run will be the basis for the abolition of new criminalised components of crimes.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".