MétaCan
Menu
Back to cohort
Record W2750992013 · doi:10.64903/1480-6800.20.1.1

Communitarian Norms and Regional Security: The GCC as a Security Community

2017· article· en· W2750992013 on OpenAlexvenueno aff
Mona Farag

Bibliographic record

VenueArab world geographer · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsPeninsulaIdentity (music)International tradePolitical scienceForeign policySecurity policyEconomyDevelopment economicsPolitical economyGeographyBusinessEconomicsLawComputer securityPolitics

Abstract

fetched live from OpenAlex

The Arabian Peninsula, unique in geopolitical importance thanks to its oil fields and sea routes, is constituted from states that share cultural traits, tribal structures, and loyalties. These states have been connected by economic, foreign policy, and geostrategic concerns, thus forming an Arabian Gulf identity. Numerous common denominators among these countries have assisted them in forming their own coalition, the Gulf Cooperation Council (GCC). The purported foreign-policy pivot of the United States towards Asia has led to concerns in many GCC countries about a defence breach within the region, which could be taken advantage of by the GCC's rivals. Given the substantial purchases of military weapons in the region over the past few years, what are the possibilities of building a functional security community within the GCC? This article analyzes whether the common Khaleeji identity is enough to unite the GCC countries and enable a form of communitarian system to function, whether efficiently or otherwise. It also examines the GCC's challenges and scenarios that could lay the groundwork for a possible GCC regional defence arrangement, with the support of its common identity and norms.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.304
Teacher spread0.269 · 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.

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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueArab world geographerSame topicMiddle East and Rwanda ConflictsFrench-language works237,207