Money laundering as a form of economic criminality – The case of the Republic of Kosovo
Bibliographic record
Abstract
Economic criminality is a criminal activity that violates the economic and property values of the state, harms the public budget, and causes losses to economic entities, harms society in general. Combating and preventing this criminal activity that takes on transnational crime dimensions requires repressive legislation and international cooperation of sovereign states. Republic of Kosovo is assessed as a country that has largely expressed the phenomenon of economic criminality, in particular, money laundering, corruption, tax evasion, trafficking in human beings and as a transit country of drug trafficking.This paper addresses the legislation that prevents and fights the criminal offense of money laundering in the Republic of Kosovo. The paper also includes international instruments that regulate the fight against money laundering. The negative effects of the criminal offense of money laundering appear to be more pronounced in small countries and with non-consolidated democracies such as Kosovo. Kosovo's legislation has been continuously adapted to the conditions and circumstances by taking the pattern of EU legislation and international conventions of the UN system.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 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".