Computational mapping of collective social categories in medieval inquisitorial registers : between discursive and structural analysis of religious dissidence
| Autoři | |
|---|---|
| Rok publikování | 2025 |
| Druh | Další prezentace na konferencích |
| Fakulta / Pracoviště MU | |
| Citace | |
| Popis | Medieval inquisitorial trial records are a unique source for social history as they offer windows to the observation of interconnected fields of individuals' actions in non-elite medieval populations. The inherent social nature of the testimonies’ content, where individuals report on the behaviour of other individuals, often allows the analytical construction of the populations as bottom-up network models rooted firmly in specific persons and their dyadic relations. While such models foster rich, empirically grounded research about collectives adhering to principles of methodological individualism, their focus on actions of specific disambiguated persons usually forces researchers to ignore the data, where the parts of reported sociality are groups of individuals lacking specific disambiguation (companions, neighbours), or more general collective social categories (heretics, Good Men). As there is a clear trial focus on individual guilt, such data form a minor part of the registers, but they are still substantial and could provide complementary research opportunities for understanding medieval religious collectivity in its imagined (ascribed/ self-referenced) collectivities dimension. In this presentation, we will provide and discuss quantitative profiles of social categories used within the testimonies of selected medieval inquisition registers. The profiles will be the results of combined manual and automatic computational sociolinguistic analysis targeting clauses with subject-object-verb triads containing “group-words” in subject or object slots. Our analytical goal is the construction of a contextual and content typology of collective social categories usage on both sides of the trial interaction (investigators/deponents) and theorisation of the usage of such data in social network analysis research. |
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