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Record W2977325901 · doi:10.1002/crq.21270

Peacebuilding and transformational change in Nigeria's oil region

2019· article· en· W2977325901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConflict Resolution Quarterly · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPeacebuildingTransformational leadershipDemobilizationDisarmamentContext (archaeology)Intrapersonal communicationPolitical scienceInterpersonal communicationTransformative learningSociologyPsychologySocial psychologyPublic relationsPublic administrationGeographyLawPoliticsPedagogy

Abstract

fetched live from OpenAlex

Abstract This article draws on primary sources to examine postconflict transformations in Nigeria's oil region. The overarching goal of the article is to evaluate the impact of Nigeria's disarmament, demobilization, and reintegration program and its effectiveness as a vehicle for peacebuilding in the oil region, focusing specifically on the changes it has brought to the lives of former insurgents at the cultural, intrapersonal, structural, and interpersonal (CISI) levels. This study introduces the CISI model of conflict transformation to put these changes into context and explain why they are crucial for understanding peacebuilding and transformational change.

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.

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)0.000
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 score0.667
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.037
GPT teacher head0.222
Teacher spread0.185 · 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