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 a David ZBÍRAL

Základní údaje

Originální název

Modeling systems of sentencing in early inquisition trials : Crime, social connectivity, and punishment in the register of Peter Seila (1241–2)

Autoři

SHAW, Robert Laurence John; Tomáš HAMPEJS a David ZBÍRAL

Vydání

Historical Methods: A Journal of Quantitative and Interdisciplinary History, Milton, Francis, 2023, 0161-5440

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14210/23:00134287

Organizace

Filozofická fakulta – Masarykova univerzita – Repozitář

DOI

https://doi.org/10.1080/01615440.2023.2270404

UT WoS

001097861700001

EID Scopus

2-s2.0-85176223430

Klíčová slova anglicky

medieval heresy; inquisition; penance; computer assisted semantic text modelling; qualitative comparative analyses; multiple linear regression

Návaznosti

GX19-26975X, projekt VaV. 101000442, interní kód Repo.
Změněno: 4. 10. 2024 00:50, RNDr. Daniel Jakubík

Anotace

V originále

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.
Zobrazeno: 2. 5. 2026 23:59