Terror Financing: Back in Business. A Case study of the Democratic Republic of Congo (ex-Zaire)
Notice bibliographique
Résumé
Conflict diamonds are often used in lieu of currency in arms deals, money laundering, and other criminal activities; they are easily concealed and transported and virtually untraceable to their original source. The United Nations (U.N) General Assembly defines conflict diamonds as “rough diamonds used by rebel movements to finance their military activities, including attempts to undermine or overthrow legitimate governments” . The Kimberly Process Certification Scheme (KPCS) is the international response to the destabilizing effect of “rough” or conflict diamonds in the global search for sustainable peace and development in Sierra Leone, Angola, The Democratic Republic of Congo (DRC), and other parts of Africa. It intends to eliminate trade in conflict and stolen diamonds with a view of cutting off the flow of much needed diamonds. These are used by rebels to purchase arms and ammunitions. The purpose is to eliminate or reduce armed conflicts in the affected states. The case will be made of the loophole in the KPCS that can further weaken the global security and destabilize Africa. Though the KPCS is sound, there is a need to improve its essence. Stakeholders and the United Nations must develop a more comprehensive legal regime to strengthen the process by creating a regulatory body of diamond inspectors similar to the International Atomic Energy Agency. If nothing is done, we can easily envision or detect the possibility of money laundering, which could aid in the financing of terrorist organizations. A grim picture of that reality is almost visible in the DRC. Without democracy and strong legal institutions, the Democratic Republic of Congo could be a refuge for terror financing activities. What is stopping terror organizations from flourishing in this chaotic landscape? Nothing. The authority of the central government is concentrated in the hands of a few who are motivated by self-interest. Vast natural resources, such as coltan, diamonds, copper, gold and Uranium, are found throughout the country in regions where government control is weak or non-existent. Therefore, lawlessness consisting of a chaotic environment looms large over the country, inviting extremist organizations and their operatives to easily blend in with the diasporas of their respective communities and mastermind their next strikes. The downfall of the transitional government can be provoked by socio-economic problems. The living condition of the average Congolese has become unbearable. The popular voices in the country are continually grumbling. As this grumbling grows, it could crystallize and induce an uncontrollable reflex among the population to revolt. The apparent calm is misleading; the situation is a time bomb. If nothing is done, history will repeat itself and the DRC will become a balkanized country with all its horrible implications.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,008 | 0,002 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».