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Record W3164268468 · doi:10.20355/jcie29405

The Emergency of Satellite Schools and Access to Education in Zimbabwe: Leveraging the Human Rights Agenda

2021· article· en· W3164268468 on OpenAlexvenueno aff
Pfuurai Chimbunde

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsRedressAppropriationGovernment (linguistics)Economic growthPolitical scienceIndigenousInjusticeSociologyPrimary educationPublic administrationPedagogyLaw

Abstract

fetched live from OpenAlex

While the Land Reform Programme (LRP) in 2000 and beyond was camouflaged as a distributive justice schema aimed to better the socio-economic status of the Indigenous people in Zimbabwe, it precipitated educational injustices for students arising from the creation of an education landscape marked by inequitable access to education. The study, undertaken after 20 years since the inception of the LRP, sought to check the progress made thus far by the Government of Zimbabwe to enhance access to education by children of the new farmers. Informed and guided by the international normative frameworks of the right to education, of which Education For All (EFA) and the Zimbabwean Education Act (1987) are part, the case study cast in the qualitative approach, presents constructed narratives of three primary school learners and their three teachers at one purposively selected satellite school. The study finds that as much as the advent of the LRP worked to bring equal access and redress in land appropriation between the settlers and natives, a new form of injustice has resurfaced as reflected by challenges of equitable access to education.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.036
GPT teacher head0.387
Teacher spread0.351 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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