Notice bibliographique
Résumé
China’s emergence as the would-be largest economy despite practising Communist regime, not western-style democracy has come to many people as “taken aback”. China could emerge ahead of all the Asian Giants: Japan, Korea, Singapore etc. There is no definite consensus among financial matters analysts and scholars about the role of that era in the outcomes observed today: while some believe that the ‘foundation’ for the recent performance was laid during the communist era, others see those decades as lost decades for China. This paper will explore avenues whether African nation is the “Next Wonder” like China in the global economic growth story to emerge from a near basket case to become the largest economy in the world by 2050 ahead of Korea, Italy, Canada, etc? The issue therefore is not whether Africa has the potentials to be the ‘next surprise’ as China, The key area of emphasis is building and exploiting the networks of the African elites in Diaspora. A careful disaggregation of the ethnic origins of Foreign Direct Investment flows might show that Asian-Japanese, Chinese, etc., still invest mostly in Asian countries; while Americans and Europeans mostly invest among themselves. It is not surprising that African countries receive much less FDI than would be predicted by the fundamentals of their economy, whereas other countries in other regions receive much more even when they reform less. It is estimated that about 50 percent of the FDI into China in recent decades came mostly from the ethnic Chinese in Diaspora. In the same vein, Israel is said to receive most of its FDI and assistance from Jews all over the world. The ethnic Diaspora not only remits money remittances and FDI, but also provides a veritable source of skilled manpower and technology transfer. They also provide the ready networks for opening markets for trade abroad. It may not be inappropriate to also surmise that at least 40 percent of Africa’s most talented and skilled manpower reside outside of the region the brain drain. Nigeria alone is said to have about 17 million elites abroad of which over 10,000 medical doctors live in the USA. The real tragedy is that Africa runs the risk of being perhaps the only region of the world that may not benefit over time from the continued growth and development impact of the Diaspora. For example, wherever you go, ethnic Chinese, still speak their native language even after several generations of settlement in the place. Indeed, the China immigrants here in Malaysia have forced them to literally adopt Chinese language as its medium of instruction in Chinese schools. In the case of Africa, the pressure to adapt and be ‘accepted’ in the West forces them into extreme forms of self- rejection brain draining. The impact of this phenomenon is that the children and perhaps future generations of the current generation of Diaspora would not be able to speak the language of their parents, would not know much about the culture and traditions, and hence would never have any attachments to Africa.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,011 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 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 ».