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Record W2345664882

Saudi Arabia-Led Islamic Military Alliance Against Terrorism and Nigeria’s Policy Somersault

2016· article· en· W2345664882 on OpenAlexvenueno aff
Eddy Akpomera

Bibliographic record

VenueCanadian social science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceIslamTerrorismForeign policySanctionsEconomic sanctionsPolitical scienceIdeologyPower (physics)DemocracyPolitical economyLawDevelopment economicsPoliticsSociologyEconomicsHistory
DOInot available

Abstract

fetched live from OpenAlex

Saudi Arabia initiative to lead an Islamic Military Alliance of 34 countries against terrorism is characterized by ambivalence and skewed membership to exclude rival Shi’a ideological nations. The timing of the initiative bears indices of panicky foreign policy to maintain the balance of regional power with Iran now free from economic sanctions. Nigeria, tormented by Boko Haram, a Sunni Wahhabi al-Qaeda terrorist organization, has always received cold shoulders from Saudi Arabia, despite appeals for assistance, which informed Nigeria’s initial rejection of membership of the Islamic Alliance. This has led to desperate arm twisting and foreign policy somersault. This paper has put in perspective the rhetorics of the Islamic military alliance and Nigeria’s twisted foreign policy dictated by desperate national economic interests.

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.300
Teacher spread0.286 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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