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Record W4210330867 · doi:10.26806/modafr.v9i2.330

Birth of a State: Rethinking South Sudanese Collective Identity through Identity Anchors

2022· article· en· W4210330867 on OpenAlexaff
Kuir ë Garang

Bibliographic record

VenueModern Africa Politics History and Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsCollective identitySecessionIdentity (music)Gender studiesWonderIndependence (probability theory)Opposition (politics)National identityState (computer science)SociologyDiversity (politics)Sine qua nonPhenomenonPolitical scienceEthnologyAnthropologyLawPoliticsSocial psychologyEpistemologyAestheticsPsychology

Abstract

fetched live from OpenAlex

Following the independence of South Sudan in 2011, the coherence of South Sudanese “national” identity has come into question. Before the Southern secession, Northerners were united by a common language and religion, but Southerners did not have this uniting reality. For this reason, scholars now wonder whether there is a collective South Sudanese identity because the sine qua non of unity among South Sudanese tribes was a collective opposition to Northern Sudan. However, the present article defends a collective South Sudanese identity based on how “nation-building” has been undertaken historically. It also argues that tribal diversity in itself does not negate the presence of a South Sudanese collective “national” identity because internal tribal divisions are a global phenomenon and “tribal” and “national” identities are activated contextually.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.018
Scholarly communication0.0090.007
Open science0.0010.010
Research integrity0.0010.003
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 head0.034
GPT teacher head0.271
Teacher spread0.237 · 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 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

Citations3
Published2022
Admission routes1
Has abstractyes

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