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Record W3027032736 · doi:10.1177/2347798920921981

The Oil Hegemonic System and Game Theory: Regional versus Trans-regional Powers in the Middle East

2020· article· en· W3027032736 on OpenAlexaff
Saikou Kawsu Gassama, Mansoureh Ebrahimi, Kamaruzaman Bin Yusoff

Bibliographic record

VenueContemporary Review of the Middle East · 2020
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsMiddle EastHegemonyRivalryEconomicsLeverage (statistics)Economic systemInternational tradeEconomyPolitical sciencePoliticsMicroeconomics

Abstract

fetched live from OpenAlex

Despite having the largest reserves and forecasts for undiscovered hydrocarbon energy resources in the world, which highlights global energy dependence on the Middle East, a distinct lack of cooperation between regional governments is accompanied by incoherent energy policies and governmental processes that enable trans-regional powers (mainly, Western powers) to dominate resource exploitation and “win the game.” A lack of cooperation between Middle Eastern oil producing countries as well as attendant competition and rivalry allows significant leverage for Western powers to pit one Middle Eastern country against another; thus, permitting Western energy hegemony in the region. Using game theory and a qualitative analytical approach, the authors posit that trans-regional powers, to their advantage, have hegemonic control over regional Middle Eastern powers that maintain the pace of energy production to supply growing demands for predominantly western consumption. The Middle East countries will continue to lose the “game,” especially Iran and Saudi Arabia, if they do not reconcile differences and exploit options for regional cooperation. Such a modification in relations would allow coherent policies and governmental structures to institutionalize and reverse the current trend for extrinsic hegemony.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.978
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.117
GPT teacher head0.253
Teacher spread0.136 · 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 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
Published2020
Admission routes1
Has abstractyes

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