Issues of Jurisdiction and Simplified Proceedings of the Republic of Armenia
Bibliographic record
Abstract
The legislator of Armenia is actively working on the planned implementation of the UN International Document requirements. In particular, to ensure guarantees of citizen rights to a fair public hearing by a competent court without delay and red tape. This follows from the article 14, paragraph 1 of the Covenant on Civil and Political Rights and the article 6, paragraph 1 of the Convention for the Protection of Human Rights and Fundamental Freedoms. The legal system of Armenia is the part of the Romano-German legal family, but with distinctive features. In our opinion, in order to alleviate the workload of the trial courts, the Article 19 of the Criminal Code of the RA “Categories of Crimes” needs to have misconduct as an independent form. For the same purpose, it is necessary to provide for simplified (total) production in the CPC of this country, which, unfortunately, is absent in current legislation. For developments in these areas, you can analyze the article 15 of Criminal Procedure Code of the Russian Federation. The jurisdiction of criminal courts in Russia is regulated by the article 31 of Criminal Procedure Code of the Russian Federation. Violation of this article rules leads to the annulment of the sentence and a criminal case re-examination.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".