Bridging Digital History Methods and Source Criticism: A Research Agenda for the Study of Inquisition Records
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| Název: | Bridging Digital History Methods and Source Criticism: A Research Agenda for the Study of Inquisition Records |
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| Autoři: | David Zbíral, Kaarel Sikk, Robert L. J. Shaw |
| Zdroj: | Acta Historica Tallinnensia, Vol 31, Iss 1, Pp 46-72 (2025) Acta Historica Tallinnensia |
| Informace o vydavateli: | Estonian Academy Publishers, 2025. |
| Rok vydání: | 2025 |
| Témata: | digital history, computer-assisted source criticism, computational modelling, data analysis, inquisition records, information extraction for history, Large Language Models (LLM), D1-2009, History (General), computa- tional modelling |
| Popis: | We outline the benefits of computational modelling approaches for extracting and analysing data derived from inquisition records, while also highlighting some drawbacks of digital history methods and the dangers of their superficial application. Most crucially, we propose ways of integrating those methods with source criticism. If source-critical information feeds into the analysis itself as data, computational modelling can improve the precision of argumentation, make assumptions and limitations more transparent, and allow digital methods to enhance the discipline of history at its core, paving the way for a genuine âsource criticism 2.0â. |
| Druh dokumentu: | Article |
| Jazyk: | Estonian |
| ISSN: | 1406-2925 |
| DOI: | 10.3176/hist.2025.1.02 |
| Rights: | CC BY |
| Přístupové číslo: | edsair.doi.dedup.....3c2ff6b9e4b272ca13530a7c5a938359 |
| Databáze: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | We outline the benefits of computational modelling approaches for extracting and analysing data derived from inquisition records, while also highlighting some drawbacks of digital history methods and the dangers of their superficial application. Most crucially, we propose ways of integrating those methods with source criticism. If source-critical information feeds into the analysis itself as data, computational modelling can improve the precision of argumentation, make assumptions and limitations more transparent, and allow digital methods to enhance the discipline of history at its core, paving the way for a genuine âsource criticism 2.0â. |
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| ISSN: | 14062925 |
| DOI: | 10.3176/hist.2025.1.02 |