Public Reason as a Strategy for Principled Reconciliation: The Case of Islamic Law and International Human Rights
Notice bibliographique
Résumé
The salient question of the twenty-first question may turn out to be religion, and its relationship to secular norms such as international human rights law. In this paper, I explore a Rawlsian strategy for effecting a principled reconciliation of Islamic law and international human rights law. The need for effecting such reconciliation is pressing, as is evidenced by first, the large number of Muslim-majority states that adopt Islamic law-based reservations to international human rights conventions, and second, the distrust that non-Muslim majorities often exhibit to their Muslim minorities which is in part fueled by suggestions that Muslims are insufficiently committed to human rights norms. Rawls' framework for analyzing how incompatible theories of the good may nevertheless co-exist within one constitutional regime under conditions that give rise to an overlapping consensus suggests that advocates of Islamic law and international human rights law should seek to articulate both the norms of international human rights law and their justifications in a manner that could reasonably result in the good faith acceptance by Muslims of such norms, and the good-faith acceptance of Islamic law by international human rights law as a legitimate interlocutor. I propose a framework for effecting this reconciliation through various strategies: first, revision of non-conforming substantive rules of Islamic law wherever possible to do so without engaging in controversial moral or theological interpretation so as to render them in conformity with norms of international human rights law; second, where there is a genuine contradiction between Islamic religious doctrine and the norms of international human rights law, by the more robust recognition within international human rights law of the right of Muslims (as well as other religiously-motivated citizens) to continue to observe voluntarily Islamic law (or other religiously-motivated norms) - even where adherence to such norms results in discrimination - as a matter of their human right to religious freedom, while Muslim states would agree not to impose such religiously-motivated rules as part of its positive legislation; and third, requiring Muslim states to disavow restrictions on freedom of conscience, including laws penalizing apostasy, even in civil law.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».