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Record W2042329572 · doi:10.1163/15692108-12341250

Half a Century of Education Progress in Sub-Saharan Africa (1960-2010)

2013· article· en· W2042329572 on OpenAlexaff
Olivier Labé, Martial Dembélé, Geneviève Sirois, Albert Motivans, Michael Bruneforth

Bibliographic record

VenueAfrican and Asian Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversité de MontréalUNESCO Institute for Statistics
Fundersnot available
KeywordsIndependence (probability theory)ComparabilityColonialismEconomic growthPoliticsPolitical scienceHigher educationQuality (philosophy)SociologyDevelopment economicsEconomicsLawStatistics

Abstract

fetched live from OpenAlex

Abstract In general, independence marks the end of education provision oriented to the needs of colonial countries and the start of a more inclusive education system tailored to native traditions and needs. This article presents a retrospective overview of the development of education in Africa since 1960, when a large number of countries attained political independence. It describes the existing educational systems which were mainly inherited from the colonial period and discusses developments in education provision (expansion of enrolment capacities and levels of education), access, retention and completion in relation to factors such as teacher supply and with attention to gender. In light of the trends that emerge from this overview, the article further identifies the gaps and challenges to be addressed in order to make universal access to a good quality education a reality. The empirical contribution of this study is based on national data collected since the 1960s by UNESCO, especially its Institute for Statistics. This annual series of national data allows comparability of education access/participation, completion, quality and outcomes indicators over time.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.283
Teacher spread0.265 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2013
Admission routes1
Has abstractyes

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