Сообщение Лаборатория Digital Humanities СФУ представила VR-тренажёр «VR следж-хоккей: Вызов» на Всеармейском форуме «Преодоление» появились сначала на DHlab.
阅读视图
2025
Digital Humanities Quarterly - New Issue
Introduction: History and Data Science: Data-driven Inquiries into the Past
Data science meets history. Read a collection of essays dedicated to data-driven inquiries into the past.
Making Sense of the Emergence of Manslaughter in British Criminal Justice
Manslaughter emerged as a new type of crime heard at the Old Bailey in London in the first half of the nineteenth century. This article describes the methodologies used by Tim Hitchcock and William J Turkel to explore this phenomenon.
Image Reuse in Eighteenth-Century Book History: Large-Scale Data-Driven Study of Headpiece Ornament Variants
Large-scale computer vision reveals that decorative headpiece ornaments in eighteenth-century books circulated far more widely — and systematically — than previously assumed. By tracking image variants across ECCO, the article challenges printer-centric accounts of book production and highlights the overlooked role of publishers and transnational networks.
Designing for discovery: using web maps in the digital humanities
How can the needs of researchers inform the design of web maps in the digital
humanities?
2025
Digital Humanities Quarterly - New Issue
Оцифровка выставки «Ясновидение» Даши Намдакова
Сообщение Оцифровка выставки «Ясновидение» Даши Намдакова появились сначала на DHlab.
Preview
Digital Humanities Quarterly - Preview
"I was painted by...": A Case Study on the Use of CNNs for Image Classification in the Humanities
In this case study the authors explore Attic vase painters using CNNs, investigating image similarity through both archaeological and computational perspectives.
2025
Digital Humanities Quarterly - New Issue
Information theory unravels the subtext in Chekhov
The paper presents a study that applies information theory to uncover the subtext in Chekhov’s story Ward No. 6.
By adding glosses that make the story’s implicit knowledge explicit, several enriched text versions were created,
alongside one intentionally misleading version. By the measures Skewness and Kurtosis, meaningful subtextual enrichments
could be distinguished from the fake, as the distributions of information density in the meaningful enriched variants differ
clearly in shape from those in the fake enrichments.
Unveiling the Critical Nexus of Data Preprocessing and Transparent Documentation for Result Quality and Reproducibility in Digital History
The study presents promising outcomes with proper preprocessing, model selection, and
parameterisation. Our findings encourage further exploration and refinement of the
methodology employed.