Free Movement of Judgments in Cross-Border Money Laundering Crimes: A Legal Stance toward the ASEAN Legal Integration
Bibliographic record
Abstract
Transnational money laundering is a global issue that requires international solutions. This paper examines the concept of Free Movement of Judgments which should be realized in the legal integration process of the ASEAN in order to overcome the negative impacts of money laundering. This research will analyze the regulation for criminalizing money laundering in the ASEAN and compare it with the criminal cooperation in the European Union. The ASEAN Treaty on Mutual Legal Assistance in Criminal Matters (MLAT 2004) is expected to be an alternative to an extradition treaty. If adopting the Free Movement of Judgements, judicial decisions of an ASEAN member country regarding transnational crimes of money laundering would be recognized and implemented in other member's jurisdiction reciprocally. This adoption is expected to be an effective solution to overcome impunity in cross-border money laundering actors.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".