Bibliographic record
Abstract
Between sporadic remittances and training of a qualified manpower mastering new technologies, what does Africa expect from its diaspora to fill its development gap in the current context of globalization? When it comes to capital building, defined as the process or strategy to endow or increase the technical, managerial, or intellectual skills of an individual or a group, its know-how or knowledge, and financial capital or purchasing power, the World Bank and other development partners seem to grant priority to remittances. This paper strongly suggests that attention may be granted to the transfer of scientific knowledge between Africa and its diaspora, as many believe that progressing knowledge would help bring out a neglected source of wealth to fight the scourges responsible for political and economic backwardness in industrial countries. The development models based on the diaspora’s contribution in several countries and regions of the world, particularly in Asia, show the importance of knowledge transfer in capacity building. Similarly, Silicon Valley in California demonstrates the role of emigrants in the knowledge industry. As the brain drain is a normal phenomenon of globalization, emigration of African professionals is no more an obstacle to Africa’s development. Rather, the African diaspora constitutes a pool of human and investment capital that can strongly contribute to the continent’s development. From our point of view, the diaspora has an important role to play in capacity building, provided respective governments come up with sound policies to promote its participation. The diaspora’s participation in nation-building without physical relocation on the one hand, and the existence of the first generation of retired researchers and academics organized into civil society associations such as AED (Association for Education and Development) in Cameroon, on the other hand, constitute the pipeline of knowledge transmission. African partners and its diaspora can build a genuine partnership to create sustainable and competitive scientific institutions in Africa on this foundation. Improved governance, leadership, regulations, and immigration policy of sending and receiving countries are necessary for transnational scholarly/economic engagement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".