Political Culture in the Islamic World: The Socioeconomic Roots of the Islamic Leviathan
Bibliographic record
Abstract
Abstract In this paper, the author explores how development affects public opinions on an Islamic Leviathan as an appropriate political system in the Middle East. He asks the following: In the MENA region (Middle East and North Africa), what influences political attitudes toward the Islamic Leviathan? To answer this question, he looks at the influence of seven independent variables on attitudes toward the Islamic Leviathan as a state system. The seven variables are (1) society’s overall development, (2) the socioeconomic class of respondents, (3) society’s corruption, (4) religiosity, (5) education, (6) gender, and (7) age. The author finds the observations needed to assess his theory in the Carnegie Middle East Governance and Islam Dataset 1988-2014 (CMEGID), which includes 15,194 relevant observations throughout the MENA region. His findings show that societies’ overall development has the most influence over Arab attitudes toward the Islamic Leviathan as an appropriate state system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".