k 2024

Detecting Inquisitorial Signal in the Inquisition Register of Bologna (1291-1310) through Machine Learning

RICCARDO, Katia

Základní údaje

Originální název

Detecting Inquisitorial Signal in the Inquisition Register of Bologna (1291-1310) through Machine Learning

Autoři

Vydání

International Medieval Congress 2024, Leeds, 1.-4.7.2024, 2024

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

60304 Religious studies

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Organizační jednotka

Filozofická fakulta

Klíčová slova anglicky

computational text analysis; inquisition register; Bologna; digital humanities

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 20. 8. 2024 09:16, Mgr. Jolana Navrátilová

Anotace

V originále

In research into inquisition records, scholars have mostly discussed the degree to which these documents (esp. depositions) represent the voices of the deponents vs. those of inquisitors, forgetting possibly the most important element – the notaries, i.e. persons who, we know for sure, verbalised the final record at our disposal. In this study, we will thus take a different approach, looking at the linguistic traces of the voice of inquisitors and notaries in one specific inquisition register, the register of Bologna, 1291–1310. We know that the final wording must depend a lot on the notaries, but also that inquisitors were asking questions and eliciting answers, both of which notaries were expected to reliably record. In this study, we will use a stylometric approach to address the question around the voices active in the inquisition registers in order to disentangle the linguistic traces of inquisitors from those of the notaries; while notaries were responsible for writing the records, we argue that we can extract from the texts traces of intervention from the inquisitors.

Návaznosti

101000442, interní kód MU
Název: Networks of Dissent: Computational Modelling of Dissident and Inquisitorial Cultures in Medieval Europe (Akronym: DISSINET)
Investor: Evropská unie, Networks of Dissent: Computational Modelling of Dissident and Inquisitorial Cultures in Medieval Europe, ERC (Excellent Science)