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Record W2909714464 · doi:10.31899/pgy1.1015

Schooling and conflict in Darfur: A snapshot of basic education services for displaced children

2010· report· en· W2909714464 on OpenAlexfundno aff
Cynthia B. Lloyd, Safaa El-Kogali, Johanna Rankin, Ali Rashed

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
FundersDepartment for International DevelopmentYork UniversityYale UniversityUNICEFJohn D. and Catherine T. MacArthur Foundation
KeywordsInternally displaced personRefugeeDisplaced personPolitical scienceCommissionFormal educationConflict resolutionPopulationGeographyEconomic growthPsychologySociologyPedagogyDemographyLaw

Abstract

fetched live from OpenAlex

Schooling and Conflict in Darfur, a joint project of the Population Council and the Women's Refugee Commission, is a report based on a 2008 survey designed to provide a more accurate picture of the state of formal and non-formal education for displaced children of primary school age (6-14) in North and West Darfur. The findings are based on a scientifically selected sample of internally displaced persons (IDP) communities in North and West Darfur. The goal of the report is to provide donors, policymakers, and practitioners information to help plan and implement effective, targeted education programs for internally displaced children in Darfur, Sudan. These findings also have application for humanitarian actors in other contexts of displacement.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.349
Teacher spread0.331 · 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 designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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