Bibliographic record
Abstract
The author examines in the article the aspect of the functioning of the jury trial and topical issues of reforming this institution in the criminal proceedings of Ukraine. Given the existence of a small amount of research on the prospects of reforming the jury and their prognostic nature, there is a need to analyze current bills to reform the jury, which determines the purpose of the author's study. Based on the works of domestic scientists and the current legal framework, as well as the study of statistics of jury trials, the author concluded that the real impact of jurors on the implementation of criminal proceedings is negligible. However, this fact allows us to determine the need to amend a number of regulations of Ukraine in order to expand the competence of juries and realize their inherent potential. The author, having analyzed the current bills to improve the regulation of the jury institute in criminal proceedings, examined the proposed changes and found that they are aimed at introducing in Ukraine the classical model of the jury trial. Among the proposed innovations, the author draws attention to the main ones, namely: the responsibility of the State Judicial Administration for the formation of juries is assigned instead of local councils; granting the right to the State Judicial Administration to use the information of the State Register of Voters; increase in the number of jurors; establishing the position of the chairman of the jury and giving him the appropriate competence; empowering jurors to decide the guilt or innocence of the accused; the possibility of appealing the verdicts handed down on the basis of a jury verdict. The changes proposed in the draft laws to improve the institution of a jury trial in criminal proceedings, if included in the legislative framework of Ukraine, will help turn the jury trial into an effective mechanism for exercising the right of the people to participate directly in the administration of justice. In addition, to better understand the proposed changes, the author reviewed and analyzed the experience of countries where the Anglo-American model of jury trial is applied on the example of the United States, Canada and England. Finally, the author notes his own opinion on the feasibility of introducing the Anglo-American model of jury trial in Ukraine.
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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 | 0.023 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".