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@proceedings{2418798,
author = {Riccardo, Katia},
booktitle = {International Medieval Congress 2024, Leeds, 1.-4.7.2024},
keywords = {computational text analysis; inquisition register; Bologna; digital humanities},
language = {eng},
title = {Detecting Inquisitorial Signal in the Inquisition Register of Bologna (1291-1310) through Machine Learning},
year = {2024}
}
TY - CONF
ID - 2418798
AU - Riccardo, Katia
PY - 2024
TI - Detecting Inquisitorial Signal in the Inquisition Register of Bologna (1291-1310) through Machine Learning
KW - computational text analysis
KW - inquisition register
KW - Bologna
KW - digital humanities
N2 - 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.
ER -
RICCARDO, Katia. Detecting Inquisitorial Signal in the Inquisition Register of Bologna (1291-1310) through Machine Learning. In \textit{International Medieval Congress 2024, Leeds, 1.-4.7.2024}. 2024.
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