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Record W7128502505 · doi:10.64903/1480-6800-28.1.38

State Building, Ideologies and Civil Society in Jordan and Egypt: A Comparative Analysis and Implications for Regional Security with Lessons Learned for the UAE

2025· article· W7128502505 on OpenAlexvenueno aff
Kleanthis Kyriakidis, Josef Demergis, Marios Panagiotis Efthymiopoulos

Bibliographic record

VenueArab world geographer · 2025
Typearticle
Language
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsCivil societyGrassrootsIdeologyState (computer science)Corporate governanceSocioeconomic development

Abstract

fetched live from OpenAlex

This paper presents a comparative analysis of state building, ideologies, and civil society in Jordan and Egypt, with implications for regional security, particularly concerning the UAE. It examines the historical contexts, ideological frameworks, and dynamics of civil society in these countries, portraying Egypt as a nationalist revolutionary republic with civil society challenges and Jordan as a stable traditional monarchy. The study explores the roles of the Muslim Brotherhood and grassroots civil society in Egypt, the interplay between secular and Islamist movements, and the impact of these dynamics on regional stability. Jordan's conciliatory approach towards Islamist groups contrasts with Egypt's repressive strategies, highlighting different models of governance and their implications for managing ideological diversity and civil society. The paper suggests lessons for the UAE, emphasizing inclusive governance, economic diversification, regional security cooperation, and proactive strategies to enhance stability and development amidst a rapidly evolving regional context.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.049
GPT teacher head0.355
Teacher spread0.306 · 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 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
Published2025
Admission routes1
Has abstractyes

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