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Record W3040784253 · doi:10.18192/potentia.v6i0.4416

Building Peace in South Sudan

2015· article· en· W3040784253 on OpenAlexaffvenue
Ashley Lefler

Bibliographic record

VenuePotentia Journal of International Affairs · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversity of TorontoGlobal Affairs Canada
Fundersnot available
KeywordsPeacebuildingPolitical scienceSettlement (finance)PeacemakingNegotiationPopulationContext (archaeology)International communityPeacekeepingDevelopment economicsIndependence (probability theory)Ethnic groupState (computer science)Conflict resolutionPoliticsPolitical economyEconomic growthPublic administrationSociologyLawGeographyEconomics

Abstract

fetched live from OpenAlex

The outbreak of violence in South Sudan in December 2013 has enlarged ethnic divides and reversed the development advances the young nation has struggled to achieve since independence; while the continued deadlock in the IGAD-led negotiation process provides little hope of a negotiated peace settlement. A peacebuilding strategy that takes into account the context-specific circumstances of this intra-state conflict enhances the opportunity for peace and development in South Sudan, and provides the international community an opportunity to contribute to peace in a meaningful way. Limited capacity, deep and persistent ethnic divisions, corruption and a long memory of brutality within the civilian population complicate prospects for peace in the country. An examination of recent peacebuilding efforts in South Sudan reveals a fragmented and provisional approach. Using the framework of Ali and Matthews, this paper outlines a peacebuilding strategy for South Sudan that addresses root causes, consequences and legacies of the conflict, while taking into consideration the unique country specific circumstances. Recognizing the need to move from negative to positive peace, this paper prioritizes security and political arrangements as essential prerequisites for success in economic development and justice and reconciliation. The role of the international community, regional/sub-regional organizations and global civil society.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.022
GPT teacher head0.310
Teacher spread0.288 · 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 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

Citations0
Published2015
Admission routes2
Has abstractyes

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