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Record W4412421080 · doi:10.20525/ijrbs.v14i4.4193

Reforming basic education in South Africa: Socio-Political implications of the BELA Bill

2025· article· en· W4412421080 on OpenAlexaboutno aff
Suares Clovis Oukouomi Noutchie

Bibliographic record

VenueInternational Journal of Research in Business and Social Science (2147-4478) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
FundersNorth-West University
KeywordsPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Education remains a cornerstone of sustainable development and social equity, particularly in post-apartheid South Africa, where historical disparities in access and quality persist. The Basic Education Laws Amendment (BELA) Bill introduces wide-ranging reforms, including the compulsory introduction of Grade R, regulation of school admissions and language policies, formalisation of homeschooling, and a complete prohibition of corporal punishment. These reforms aim to enhance fairness and inclusivity but raise critical questions regarding constitutional rights, cultural diversity, and the socio-political feasibility of implementation. This article critically analyses the BELA Bill within an international context, drawing on comparative insights from multilingual and education-forward countries such as Canada, Finland, Norway, and New Zealand. Through a qualitative review of policy documents, academic literature, and case studies, the study identifies opportunities and challenges in implementing the bill’s provisions. The analysis highlights the importance of stakeholder engagement, capacity building, and robust monitoring frameworks to ensure successful reform. Aligning with global trends in education transformation, the BELA Bill presents an opportunity to redefine South Africa’s education system as more inclusive, equitable, and responsive to societal needs. However, the realisation of these goals will depend on pragmatic, context-sensitive implementation that accounts for South Africa’s diverse linguistic and cultural landscape.

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 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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.715
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.002
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 head0.111
GPT teacher head0.499
Teacher spread0.388 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

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