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Record W2927186716 · doi:10.5539/ass.v15n4p119

The Policies of the Gulf Regimes in Facing of the Repercussions of the Arab Uprisings: With Application to Saudi Arabia, Kuwait, Oman Sultanate and Bahrain

2019· article· en· W2927186716 on OpenAlexvenueno aff
Buthaina Khalifa

Bibliographic record

VenueAsian Social Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceMiddle EastOrder (exchange)Function (biology)Development economicsGeographyBusinessEconomicsLaw

Abstract

fetched live from OpenAlex

The current study aims to scrutinize and analyze the Gulf regimes' policies in facing of the repercussions of the Arab uprisings. The research has selected four countries as case studies, which are Saudi Arabia, Kuwait, Oman Sultanate and Bahrain. In this vein, the study seeks to answer the main question: to what extent the Gulf regimes succeeded in facing the repercussions of the Arab uprisings? To answer this question, the study adopts the theoretical framework of the functional-structural approach, which has been developed by Gabriel Almond. This approach contains four main functional requirements, which are: structure, function, performance style and capabilities. The study has focused on system performance and capabilities in order to analyze the outputs, capabilities and performance of the Gulf regimes, and the extent to which the interaction of these capabilities contributes to the stability of the political system and increase its ability to adapt to changing circumstances and challenges. The study has reached many findings, the most important of which is that the Gulf countries have had the ability to face the repercussions of the popular uprisings, leading to the decline of them.

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 categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.003
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 head0.008
GPT teacher head0.265
Teacher spread0.256 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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