«The Essence and Prospects of the Theory of Euro-Islam»
Bibliographic record
Abstract
The exploration of the current understanding the concept of Euro-Islam by researchers is the purpose of this study. To achieve this, we used such methods as analysis and phenomenology. The study analyzed works of the following authors: T. Ramadan, B. Tibi, N. AlSayyad, D. Davydova, L. Koroleva, A. March, A. Mykhal’ova, O. Roy, A. Sadykhova. We have shown that ideas of Euro-Islam have not received widespread support among Muslims in Europe quarter a century after they were expressed by Tariq Ramadan. We also argued that the concept of Euro- Islam has a significant potential to reduce jihadist radicalism in Europe if it is perceived by European Muslims. We have shown that if this concept is adopted by Muslims in Europe, they will turn into a powerful force in the political and social life of Europe.
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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 | 0.007 | 0.005 |
| 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 | 0.038 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".