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Enregistrement W223950640

License to Loot? A Critique of Follow-the-Money Methods in Crime Control Policy

2001· article· en· W223950640 sur OpenAlexaff
R.T. Naylor

Notice bibliographique

RevueSocial Justice A Journal of Crime Conflict & World Order · 2001
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCrime, Illicit Activities, and Governance
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésMoney launderingLaw enforcementLawLicenseCommitEnforcementEconomicsBusinessLaw and economicsFinancePolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Taken to the Cleaners? OVER THE LAST 1.5 YEARS, THERE HAS BEEN A QUIET REVOLUTION IN THE THEORY and practice of law enforcement. Instead of simply closing rackets that generate illegal income, the central objective has become to attack the flow of criminal profits after they have been earned. The justification is that taking away assets accumulated by criminals simultaneously removes the motive (profit) and the means (operating capital) to commit further crimes. Prodded on first by the U.S., then by the Financial Action Task Force of the OECD, and more recently by the United Nations, the pursuit of the of has been elevated to the status of a Crusade. A new crime -- money laundering -- has been put on the books of many countries. Various new reporting requirements have been imposed on financial institutions, which have been forcibly recruited into the struggle. In addition, law enforcement agencies now host special units responsible for arresting not malefactors, but bank accounts, investment portfolios, houses, cars, and even Rolex watches. These initiatives are closely related. Anti-money-laundering regulations require detailed information that helps to create a paper trail to aid tracing and seizing criminal money. They also create new offenses to justify such seizures. (1) To various degrees in various places, the new laws have undermined traditional presumptions in favor of financial privacy, muddled civil and criminal procedures, and opened previously confidential tax records to police probes. Particularly, though not exclusively, in the U.S. these laws have been accused of reversing the burden of proof, smearing citizens with the taint of criminality without benefit of trial, and converting police forces into self-financing bounty-hunting organizations. Some might argue that this is a necessary and justifiable response to an overarching social evil. Some might agree in principle that such a strategy can help to deal with a very serious problem, but criticize its worst abuses. However, some might suggest that the entire exercise is simply insane. Clearly, these new legal initiatives are powerful weapons. It is reasonable to ask that they not be deployed unless and until their need has been unambiguously established, their objectives clearly delineated, and the public well informed of their actual (as distinct from nominal) purposes and of any collateral damage their use might entail. It should be convincingly demonstrated that any perceived failure of existing methods of crime control results from deficiencies of existing laws, rather than from deficiencies in the application of existing laws, that a crisis of sufficient order of magnitude exists to require radical alternatives, and that such alternatives have a good chance of being effective in rectifying those deficiencies. Despite the rapid spread of anti-money-laundering regulations and asset-forfeiture laws across the world, no one really knows how much criminal income and wealth actually exists, how illegal gains are distributed, or how (if at all) deleterious their impact on legitimate society really is. No one can say with any confidence what impact a follow-the-money strategy might have on its intended target, though there is more clarity regarding some of its pernicious side effects. A Solution in Search of a Problem Contemporary laws that facilitate the confiscation of criminally derived assets are of two main types. Some involve in personam procedures, in which an individual must be charged with a crime and that crime proven beyond a reasonable doubt, before specified property, also proven on criminal criteria to be the proceeds of that crime, can be seized. Standard safeguards -- presumption of innocence, right to counsel, and protection against double jeopardy or disproportionate punishment -- apply. Other laws involve in rem procedures, whereby property can be seized if it can be established by civil criteria that the property was the proceeds of or means to commit a crime. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,873
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,425
Écart entre enseignants0,384 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2001
Routes d'admission1
Résumé présentoui

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