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Record W2085792709 · doi:10.6017/ijahe.v1i1.5643

Higher Education and Economic Growth in Africa

2014· article· en· W2085792709 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of African Higher Education · 2014
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsSt. John’s Health Sciences Centre
Fundersnot available
KeywordsDevelopment economicsPolitical scienceEconomicsGeographyEconomic geographyEconomic growth

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.246
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it