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  • This study delves into the history of the Rogation feast, examining its origin, evolution and role in the creation of community identity in 5th and 6th century Gaul. Adopting a cross-approach between history and anthropology highlights the importance of this ritual for the communities of the period and the narrative surrounding it, as orchestrated by the bishops of Gaul and by various actors. By examining the corpus of sources relating to the first Rogations at this period, we discover how this feast served as an apotropaic ritual and collective penance to cope with various difficulties, such as epidemics and droughts, first in the Rhone valley and then throughout Gaul. Thus, the narrative surrounding this festival and how it fostered community adhesion are at the heart of this study. Broader questions, such as the development of collective practices including fasts, prayers and processions, and the way in which the Rogation narrative connected with biblical origins and became rooted in the episcopal sphere, are also put forward. These observations lead us to conclude that this festive ritual, as a testing ground for all social classes, served as a vehicle for creating stronger, more enduring communities. Indeed, it forged a sense of belonging through shared practices and experiences, resulting in the creation of a conventus and an ecclesiological consensus. Nevertheless, this vision is primarily that of the bishops, and as this study is also concerned with individual and community experiences, therefore we also analyze the feast as a space for negotiation and conflict. In short, this research sheds light on how this ritual went beyond its initial role to become an essential element of Gaul’s cultic landscape. It offers a fascinating insight into how Rogations shaped community identity and served as a catalyst for social cohesion in a crucial period of Christian history in Gaul.

  • The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams. Our use of the Transkribus platform since 2018 has led us to search for the most significant ways to improve the performance of our handwritten text recognition (HTR) models which are made to transcribe French handwriting dating from the 17th century. This article therefore reports on the impacts of creating transcribing protocols, using the language model at full scale and determining the best way to use base models in order to help increase the performance of HTR models. Combining all of these elements can indeed increase the performance of a single model by more than 20% (reaching a Character Error Rate below 5%). This article also discusses some challenges regarding the collaborative nature of HTR platforms such as Transkribus and the way researchers can share their data generated in the process of creating or training handwritten text recognition models.

Dernière mise à jour depuis la base de données : 19/07/2025 05:00 (EDT)

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