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Record W1581663043

마약류 보상금제도의 운영실태와 개선방안

2006· article· ko· W1581663043 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue형사정책연구원 연구총서 · 2006
Typearticle
Languageko
FieldComputer Science
TopicTechnology and Data Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMoney launderingTreasuryFinanceBusinessGovernment (linguistics)SanctionsAsset (computer security)EconomicsLawPolitical scienceComputer security
DOInot available

Abstract

fetched live from OpenAlex

Investigations against drug crimes are hard to prosecute because evidences cannot easily grasp without insiders' report within the drug criminal organization. Without any doubt, drug crimes are used to be covertly committed on the entire process of its producing, possessing, trading and international transferring. The Korean government performs the Monetary Reward Program in order to encourage the voluntary criminal report against drug crimes. The Monetary Reward Program is a system of giving a reward to reporters within the range of fifty-million won for individuals and ten-million won for the public officials. Insofar, the Monetary Reward Program has been an effective solution for the investigation of drug crimes, however, it reveals a serious shortcoming due to insufficient funds for rewards. The reward fund of the Monetary Reward Program is allocated by limited budgets of the National Treasury. Therefore, it is important to establish both a sufficient funding and a flexible allocation plan for improving an effectiveness of the Monetary Reward Program. In this sense, this study suggests the Asset Forfeiture Fund based on establishing a system of the Civil Forfeiture. To begin with, the Asset Forfeiture Fund is recommended by international organization, such as the FATF (Financial Action Task Force on Money Laundering). This act has been operated by seven nations - e.g., U.S., Canada, Australia, Italy, Luxemburg, Spain - among FATF member nations. Basically, this funding plan aims at flexible sharing a common financial resource between the state and the local government or the international organization. This would enhance opportunities to budget toward law enforcement projects, rehabilitation facilities, investigations and rewards in relevant to drug crimes. Moreover, this plan makes expedite a mutual relationship between the state government and the international organization or the local government. In advance to the introduction of the Asset Forfeiture Fund, it is necessary to be concerned with the Civil Forfeiture. The system of the civil forfeiture is discerned from the current forfeiture one in respect of operating by the court order without any violations of private property rights. Instead of concluding remarks, this study recommends two more things along with a guarantee of sufficient financial resources toward an effective operation of the Monetary Reward Program. The system of the protection of drug crime reporters should be fortified in various specific crime acts. Amending regulations of the testimonial immunity for accomplice witness and introducing the Plea Bargaining are both urged.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.005

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.

Opus teacher head0.006
GPT teacher head0.212
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it