Higher Education and Economic Growth in Africa
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.
Bibliographic record
Abstract
Enrollment rates for higher education in Sub-Saharan Africa are by far the lowest in the world at 6%. Yet because of conventional beliefs that tertiary education is less important for poverty reduction, the international development community has encouraged African governments’ relative neglect of higher education. This article challenges beliefs that tertiary education has little role in promoting economic growth and alleviating poverty. First, we review recent evidence that higher education can produce significant public and private benefits. Next, we analyze the relationship between tertiary education and economic growth. We find evidence that tertiary education improves technological catch-up and, in doing so, may help to maximize Africa’s potential to achieve more rapid economic growth given current constraints. Investing in tertiary education in Africa may accelerate technological diffusion, which would in turn decrease knowledge gaps and help reduce poverty in the region. We also review new developments and trends in the higher education scene in Africa. Le taux d’inscription dans l’enseignement supérieur en Afrique sub-saharienne est de loin le plus faible du monde, atteignant seulement 6%. Pourtant, parce que l’enseignement supérieur est perçu comme moins important que les enseignements primaire et secondaire pour lutter contre la pauvreté, la communauté internationale a encouragé les gouvernements africains à moins y prêter attention. Cet article conteste l’idée que l’enseignement supérieur joue un rôle peu important dans le développement économique et la lutte contre la pauvreté. Tout d’abord, nous nous intéressons à de récents résultats qui montrent que l’enseignement supérieur crée des bénéfices publics et privés. Ensuite, nous analysons la relation entre l’enseignement supérieur et la croissance économique. Nous montrons que l’enseignement supérieur permet de rattraper le retard technologique et, ce faisant, pourrait aider l’Afrique à maximiser sa capacité à accélérer sa croissance économique dans les conditions actuelles. Investir dans l’enseignement supérieur en Afrique pourrait permettre une diffusion plus rapide des avancées technologiques, qui pourrait à son tour réduire la disparité de savoir et participer à la réduction de la pauvreté dans la région. Nous passons aussi en revue les nouveautés et tendances dans l’enseignement supérieur africain.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it