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Record W3184613183 · doi:10.1108/ijse-02-2021-0081

Did the Arab Spring lead to economic, institutional and sociopolitical changes? An empirical analysis through the perceptions of Egyptian youth

2021· article· en· W3184613183 on OpenAlexaff
Ali Fakih, Pascal L. Ghazalian

Bibliographic record

VenueInternational Journal of Social Economics · 2021
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCredencePerceptionOriginalitySocioeconomic statusIdeologyEconomic JusticeSocial psychologySociologyPolitical scienceDemographic economicsPsychologyPoliticsEconomicsDemography

Abstract

fetched live from OpenAlex

Egyptian youth played a central role in the Arab Spring (AS) uprisings, yearning for changes in the political system and for better economic conditions. This paper investigates the perceptions of young Egyptians about the AS. The empirical analysis uses a bivariate ordered probit model to examine the factors influencing these perceptions through proxies that cover political, social, and economic conditions. The results reveal that social values and ideological characteristics matter more than the standard socio-economic attributes in understanding the perceptions of young Egyptians. They indicate that individuals with secularist, non-traditionalist, and gender equality inclinations formed more favourable perceptions about the AS. Also, they suggest that the AS has led to unfavourable perceived circumstances for the Arab Nationalism and pan-Islamism ideologies, and propitious perceived conditions for further connection with the global system. These findings signal that the AS may have set a path toward a significant transformation in the Egyptian society.

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 score0.014
Threshold uncertainty score0.028

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 studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.311
Teacher spread0.274 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

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