L’islam dans une France et une Europe laïques : comment déjouer les pièges de l’extrémisme prétendu musulman ?
Bibliographic record
Abstract
Ce texte analyse la place de l’islam en France et en Europe. Il distingue ses formes pacifiques et ses tendances extrémistes et meurtrières. Il soutient que l’islam devrait avoir les mêmes droits et les mêmes devoirs que les religions chrétiennes, en France et dans l’Union européenne (UE). Il considère que les explications de l’extrémisme islamiste par les conditions socio-économiques locales, par les séquelles de la colonisation, ou par l’islam, sont complémentaires et ne s’excluent pas mutuellement. L’extrémisme islamiste est à la fois exogène et endogène à la France et à l’UE. Il y a beaucoup à faire en matière de dés-endoctrinement et le système carcéral est inadapté, particulièrement en France. La collaboration de tous les échelons de l’État avec la société civile est requise, dans une démocratie participative repensée et élargie.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".