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Record W775700986 · doi:10.1163/22131418-00204006

The Muslim Brotherhood: Between Democracy, Ideology and Distrust

2014· article· en· W775700986 on OpenAlexaff
Eid Mohamed, Bessma Momani

Bibliographic record

VenueSociology of Islam · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsBalsillie School of International AffairsUniversity of WaterlooUniversity of Guelph
Fundersnot available
KeywordsPoliticsIdeologyDistrustPolitical economyDemocracyIslamSociologyPower (physics)Political scienceLawHistory

Abstract

fetched live from OpenAlex

Following the Arab Spring, democracy exercised through free and fair elections had allowed Islamist political parties to gain power in Egypt. There was a transformation happening in the ideology of Islamists, who were increasingly trying to influence legislation through democratic processes and social activism. It could be argued that for a time, the u.s. and other Western governments no longer viewed Egypt’s Muslim Brotherhood as a threat comparable with Jihadist groups such as Al-Qaeda. This did not translate into a domestic political success, however, once Egypt’s Muslim Brotherhood was elected into power in 2012, it simplified good governance to a single and effective slogan: “Islam is the solution!” Yet, it had no real solution to the everyday problems of Egyptians and the sheer chaos that characterizes the daily lives of its people. In a devout region with growing inequality and poverty, religious credentials will matter less than offering specific solutions to these growing social issues. This paper argues that the myth of political Islam has been exposed in Egypt and that the Muslim Brotherhood’s identity, torn between political pragmatism and religious conservatism, shaped its political actions under Morsi’s rule.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.021
Scholarly communication0.0070.003
Open science0.0000.005
Research integrity0.0010.002
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 head0.013
GPT teacher head0.278
Teacher spread0.265 · 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 designNot applicable
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

Citations3
Published2014
Admission routes1
Has abstractyes

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