Přehled o publikaci
2023
Modeling systems of sentencing in early inquisition trials : Crime, social connectivity, and punishment in the register of Peter Seila (1241–2)
SHAW, Robert Laurence John; Tomáš HAMPEJS and David ZBÍRALBasic information
Original name
Modeling systems of sentencing in early inquisition trials : Crime, social connectivity, and punishment in the register of Peter Seila (1241–2)
Authors
SHAW, Robert Laurence John; Tomáš HAMPEJS and David ZBÍRAL
Edition
Historical Methods: A Journal of Quantitative and Interdisciplinary History, Milton, Francis, 2023, 0161-5440
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
References:
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14210/23:00134287
Organization
Filozofická fakulta – Repository – Repository
UT WoS
EID Scopus
Keywords in English
medieval heresy; inquisition; penance; computer assisted semantic text modelling; qualitative comparative analyses; multiple linear regression
Links
GX19-26975X, research and development project. 101000442, interní kód Repo.
Changed: 4/10/2024 00:50, RNDr. Daniel Jakubík
Abstract
In the original language
This article, published in the Web of Science History first-decile journal Historical Methods, is a significant outcome of the GAČR-EXPRO and ERC Consolidator Grant-funded Dissident Networks Project (DISSINET), based on comprehensive formal data analysis. It disentangles the intricate relations between crime and punishment in earliest medieval inquisitions. It builds on the fact that despite significant research on the techniques of repression employed by medieval inquisitors against religious dissidents, the case-level influences on the penances they meted out are understood only vaguely: the extent to which sentencing “systems” existed is unknown. To overcome this, we apply formal methods – an exploratory analysis supported by crisp-set Qualitative Comparative Analysis, and statistical modeling founded on multiple linear regression – to the large and historically significant register of Peter Seila (1241–2), captured as structured data via a statement-based approach entitled “Computer-Assisted Semantic Text Modelling” (CASTEMO). The results show that Peter systematically weighted different types of crimes and dissident interactions when sentencing; they do not suggest, however, that he was influenced by accomplicity or kinship among the sentenced.