JOURNAL ARTICLE

Apocrypha in Monastic Miscellanies: Accident or Premeditation?

  • Published In: Scripta & e-Scripta: The Journal of Interdisciplinary Mediaeval Studies, 2025, v. 25. P. 461 1 of 3

  • Database: Central & Eastern European Academic Source 2 of 3

  • Authored By: Miltenova, Anissava 3 of 3

Abstract

The article focuses on the presence and function of apocryphal texts in Slavic monastic miscellanies from the 12th to 17th centuries, particularly in Balkan monasteries such as Hilandar on Mount Athos. These miscellanies, intended for individual (cellular) reading rather than liturgical use, include apocrypha that serve didactic, spiritual, and reference purposes rather than contradicting official Christian canon. The apocryphal works are categorized by themes such as biblical reinterpretations, eschatology, and natural phenomena, and over time became “legalized” as spiritually enlightening literature. Manuscripts containing these texts often combine apocryphal cycles with hymnographic materials, penitential rules, and didactic sermons, reflecting the diverse literary activity in monastic communities under Ottoman rule without strict institutional censorship. The article also highlights specific manuscripts and textual traditions, noting the gradual blurring of distinctions between “quasi-canonical” and non-canonical apocrypha in late medieval Slavic literature.

Additional Information

  • Source:Scripta & e-Scripta: The Journal of Interdisciplinary Mediaeval Studies. 2025/01, Vol. 25, p461
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2025
  • ISSN:1312-238X
  • Accession Number:190639942
  • Copyright Statement:Copyright of Scripta & e-Scripta: The Journal of Interdisciplinary Mediaeval Studies is the property of Bulgarian Academy of Sciences, Institute of Literature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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