DAKWAH EKONOMI GULEN MOVEMENT: INTEGRASI ISLAM DAN NEOLIBERALISME
Bibliographic record
Abstract
This article examines the integration of the Gulen Movement into the neoliberal economy. In spite of the Gulen Movement currently undergoes a severe persecution under President Erdogan and charged as FETO (FethullahTerrorist Organization), Gulen’s success story in the economy is of interest for any Islamic movements to emulate. In contrast to those belong to the revivalist Islam that rejects the neo-liberal economy, Gulen does accept the neoliberal economy. He integrates neoliberalism into Islam, and vice versa. Gulenacceptance of the neo-liberal economy, in turn, encouraged his movement to adopt for further neoliberal principles such as human rights, multiculturalism, cosmopolitanism, etc. Since Gulen willingly immerses in the neo-liberalist system, he could be categorized into a progressive Islam. Nevertheless, Galen shows his critical attitude toward the capitalist economy despite his acceptance of the system. This article argues that Gulen’s adoption of the neo-liberal economy is a method of da’wah. This article calls it as ‘da’wah in the economic field’.As it is the case, Gulen’s adoption of neo-liberal economics does not appear simultaneously once, rather through gradual processes in which it goes through three stages of his da’wah: individual transformation, social transformation, and the state.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".