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Record W2896874371 · doi:10.28933/ajerr-2018-09-2301

Education Policy in South Sudan: Between the Peace Agreement, the Armed Conflict, the Villages and the Camps for the Internally Displaced People

2018· article· en· W2896874371 on OpenAlexaff
Jacques Kubranz Buhendwa, Kenneth Masungu

Bibliographic record

VenueAmerican Journal of Educational Research and Reviews · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsArmed conflictInternally displaced personAgreementPolitical scienceDisplaced personRefugeeCriminologyGender studiesSocioeconomicsEconomic growthSociologyLawEconomics

Abstract

fetched live from OpenAlex

The government of South Sudan is struggling to organize the education system of this new country during the war that ended with the signing of peace agreement in 2005. Initiating the educational policy, reinforcing the education administration, creating a practical curriculum and training teachers are the basic problems needed to solve to insure a good learning future for all. But while searching for the solution to these crucial problems, another rebellion broke up from the sharing power between the president and the vice-president since 2013 undermining the success plan according to the international education plan of education for all, EFA. This war sent many adults and children in the camps where there are no educational structures welcomed by a deep poverty which obliged everybody to lose or to restart their life full of hopeless.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.004
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.066
GPT teacher head0.456
Teacher spread0.390 · 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 designQualitative
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

Citations1
Published2018
Admission routes1
Has abstractyes

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