MétaCan
Menu
Back to cohort
Record W2024959874 · doi:10.1080/01436597.2013.802503

Shaping the Middle East in the Midst of the Arab Uprisings: Turkish and Saudi foreign policy strategies

2013· article· en· W2024959874 on OpenAlexaff
Crystal A. Ennis, Bessma Momani

Bibliographic record

VenueThird World Quarterly · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMiddle EastTurkishForeign policyPolitical scienceDevelopment economicsEconomyEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

While the Middle East and North Africa ( mena ) are undergoing rapid change, many domestic, regional and international actors are vying for space and influence as systems and customs evolve and adopt new forms. This paper characterises and compares the evolving foreign policy strategies of two such regional actors, Turkey and Saudi Arabia. It further assesses the motivations and activities of and challenges to Turkish and Saudi involvement throughout the region since the Arab uprisings. Ultimately these cases provide intriguing insight into the foreign policy purpose and methods of emerging states under conditions of uncertainty.

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)0.003
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.272
Teacher spread0.226 · 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 designTheoretical or conceptual
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

Citations46
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueThird World QuarterlySame topicMiddle East and Rwanda ConflictsFrench-language works237,207