Applying Shari῾a in the West. Facts, Fears and the Future of Islamic Rules on Family Relations in the West
Bibliographic record
Abstract
section i country studies 1 Reasons for the Application of Shari῾a in the West 1 Mathias Rohe bgh (Federal Supreme Court) njw, 1999, 135."Verschleiert, aber selbstbewußt", faz 27.02.2001,p. 14.An English version can be found at http://www.islam.de/?site=sonstiges/events/ charta&di=en (accessed on 30.01.2004).Vereinigung der Islamischen Organisationen in Zürich (vioz), Grundsatzerklärung 27 March 2005.Larbi Kechat, 'Le coran a été relevé au viie siècle: dans le contexte socioculturel de l' époque, entretien réalisé par Guy Gauthier' , in Panoramiques 1997 (Vol.29), L'islam est-il soluble dans la République, pp.183, 189.See Marie-Claire Foblets and Adriaan Overbeeke, 'Islam in Belgium' , in: Potz and Wieshaider (eds.),Islam and the European Union, 2004, p. 34.Joachim Wagner, 'Richter ohne Gesetz.Islamische Paralleljustiz gefährdet unseren Rechtsstaat' , Berlin, 2011.See 'Juicio islàmico por adulterio a una mujer en Reus' (Salud Muñoz), Elmundo.es 06.12.09, available at http://www.elmundo.es/elmundo/2009/12/06/espana/1260084030.html.Lecture held during a conference in Sarajevo organized by the German Friedrich Ebert-Stiftung on 19 November
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".