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Record W2675270072 · doi:10.5539/ass.v13n7p92

The Impact of Sectarian Conflict in Syria on Iran-Gulf Relations

2017· article· en· W2675270072 on OpenAlexvenueno aff
Saleem A. Salih Al-Dulaimi, Mohammad Kamal, Dalal Mahmoud Elsayed

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsGulf warMiddle EastIdeologyAncient historyPolitical sciencePower (physics)PersianDevelopment economicsEconomic historyEconomyPoliticsHistoryLawEconomics

Abstract

fetched live from OpenAlex

Iran-Gulf relations are a confusing maze of complexities and contradictions. Iran’s voracious aspirations have been manifest in more than one act and place. The 1979 Revolution created a pervasive atmosphere of anxiety and fear in the Gulf region of that revolution’s ideological expansion into the Gulf states, especially those countries in which Shiites form important parts of their societies. In the Iran-Iraq war 1980, on the other hand, the Arab Gulf states supported Iraq against Iran as it was a proxy war to protect the Arab Gulf states, and Saddam Hussein, nevertheless, ended up occupying Kuwait in 1990. And then the Iranian-Gulf relations took a new turn at the time of both presidents Hashemi Rafsanjani and Mohammad Khatami, who adopted an open approach to the Gulf countries. However, those relations worsened when Ahmadinejad came to power as he started to export the revolutionary thought to the Gulf countries and extended the Iranian influence to Iraq after 2003, to Syria in the aftermath of the revolution that erupted in Syria in 2011 and to the Gulf Cooperation Council states, especially in Saudi Arabia, Kuwait and Bahrain. All this comes at the expense of the Gulf states, particularly Saudi Arabia, which is keen to maintain its influential role in the face of Iranian encroachment in Syria, through the support of the Syrian revolution, which seeks to overthrow Iran's ally in Damascus, Bashar al-Assad. Therefore, this study is trying to find an answer to this question: how has sectarian conflict in Syria impacted the Iranian-Gulf relations?

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0050.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.049
GPT teacher head0.370
Teacher spread0.321 · 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 designObservational
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

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