STUDIU DE DREPT COMPARAT AL REGLEMENTĂRILOR PENALE PRIVIND TRAFICUL DE FIINŢE UMANE
Bibliographic record
Abstract
In this article, it is recommended that following the model offered by the Romanian legislature, at par.(1) art.165 PC RM, at Chapter XIII of the General Part of the Penal Code of Republic of Moldova, to implement a norm which would contain the definition of the term “person exploitation”. It is argued that it’s rather appropriate the addition of the domestic penal law with a norm that would have implied the act of using the services of an exploited person, after the model of art.216 of the Penal Code of Romania from 17.07.2009. It is pointed out that, after the model offered by the Bulgarian legislature, the German and the Ukrainian one, the circumstance of committing the offense with legal passing of the state border is to be recommended as an aggravating circumstance of the offense provided by art.165 PC RM. It is concluded that the goal of sexual exploitation is not the purpose of persons trafficking in the Penal laws of Turkey and Canada. In these situations, somehow improper, are followed the stipulations of the incriminating provisions of the offence of pimping. In this regard, Republic of Moldova has more effective settlements on human beings trafficking.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".