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Reconstructing the Variant Generation Process of Hadith: Based on the Quantitative and the Isnad-Cum-Matn Analysis - Hiroyuki Yanagihashi - cover
Reconstructing the Variant Generation Process of Hadith: Based on the Quantitative and the Isnad-Cum-Matn Analysis - Hiroyuki Yanagihashi - cover
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Reconstructing the Variant Generation Process of Hadith: Based on the Quantitative and the Isnad-Cum-Matn Analysis
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Reconstructing the Variant Generation Process of Hadith: Based on the Quantitative and the Isnad-Cum-Matn Analysis - Hiroyuki Yanagihashi - cover

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This monograph is dedicated to the analysis of hadiths for the purpose of reconstructing the process of variant generation. Medieval authors seemingly did not devote many pages to the question of textual variation, certainly because they had little interest in the question of how individual hadiths were historically formed. Several contemporary researchers have shown interest in the issue of textual variation in hadith. They agree that many hadiths were reformulated since their initial circulation and aim to trace the process of reformulation with regard to individual hadiths. Methodologically, the most successful is the isnad-cum-matn analysis proposed by Harald Motzki and Gregor Schoeler. This method consists of determining whether a correlation lies between the transmission process of a hadith, obtained from the analysis of isnads (chains of transmission), and its textual development, obtained from the examination of its matn (text), sometimes complemented by biographical sources. However, despite the existence of many excellent studies based on this method, presenting the general pattern of variant generation with accuracy is far from being achieved. This study, which contains four chapters, seeks to precisely reconstruct the process of variant generation by analyzing isnads from various quantitative perspectives, in addition to using the isnad-cum- matn analysis.
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Monographs in Arabic and Islamic Studies
2023
Hardback
302 p.
Testo in English
234 x 156 mm
3756 gr.
9781800502178
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