J 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 ZBÍRAL

Basic 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:

URL

Marked to be transferred to RIV

Yes

RIV identification code

RIV/00216224:14210/23:00134287

Organization

Filozofická fakulta – Repository – Repository

DOI

https://doi.org/10.1080/01615440.2023.2270404

UT WoS

001097861700001

EID Scopus

2-s2.0-85176223430

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.
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