Revisiting global development frameworks and research on universal basic education in Ghana and Sub‐Saharan Africa: a review of evidence and gaps for future research
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
The emergence of global development frameworks such as Education for All, Millennium Development Goals, and Sustainable Development Goals have expanded opportunities for Universal Basic Education (UBE) in Ghana and Sub‐Saharan Africa (SSA). In the three decades of their implementation, these frameworks have also stimulated a culture of research based on measuring development and educational outcomes through established indicator‐based approaches. Subsequently, research on UBE in Ghana and SSA remains largely dominated by quantitative indicators which concentrate on enrolment and completion numbers in measuring a country’s progress. Yet, emerging literature shows that the expansion in enrolment is accompanied by high rates of drop‐outs, non completion, and low learning outcomes even for those able to complete basic education. Using structured and unstructured procedures to identify both academic and grey literature, this review explores the state of educational expansion and research on UBE in Ghana and SSA. We argue that the current reliance on dominant quantitative, indicator‐based approaches to assessing UBE reveals little about the differential experiences of children, particularly those in rural and marginalised communities, who receive poor quality education. The lack of information about children’s experiences of access reinforces inequalities in education, employment, and upward mobility in later life. Future research should seek to unpack micro‐level experiences which characterise access, as well as the pathways through which factors such as poverty and location create unequal experiences in schooling access, to inform context‐specific policies for UBE.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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