Busca
Resultados da Busca
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2023
Dataset
Language of Mechanisation: annotated historical newspaper articles
Datasets created through crowdsourcing tasks created on the Zooniverse crowdsourcing platform by the Living with Machines ‘language of mechanisation’ project team. Building on earlier work classifying machines by function, we asked volunteers on Zooniverse 'how did the word x change over time and place?' and presented them with options for... -
2023
Conference paper (unpublished)
Balancing public-private partnerships with responsibilities to our communities
The Living with Machines project (2018-23) was a data science and digital history project between the British Library and The Alan Turing Institute. Its focus on the impact of mechanisation in the long 19th century was in part inspired by the Library's access to newspapers digitised for The British Newspaper...Ridge, Mia
digitisation, research project, newspapers, and Living With Machines
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2022
Exhibition object labels
Living with Machines: Human stories from the industrial age (exhibition board text)
‘Living with Machines: Human stories from the industrial age’ was a free exhibition at Leeds City Museum from July 2022-January 2023. It explored how machines and mechanisation changed life and work in Leeds and the surrounding regions. A collaboration between the British Library and Leeds City Museum, the exhibition was...Ridge, Mia ; McGoldrick, John
history of science, mechanisation, data science, industrialisation, history of technology, and information visualisation
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2023
Book
Collaborative Historical Research in the Age of Big Data
Living with Machines is the largest digital humanities project ever funded in the UK. The project brought together a team of twenty-three researchers to leverage more than twenty-years' worth of digitisation projects in order to deepen our understanding of the impact of mechanisation on nineteenth-century Britain. In contrast to many...Ahnert, Ruth ; Griffin, Emma ; Ridge, Mia ; Tolfo, Giorgia
digital humanities, British history, multidisciplinarity, digital history, and nineteenth century
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2022
Abstract
Historic machines from 'prams' to 'Parliament': new avenues for collaborative linguistic research
Research in computational linguistics has made successful attempts at modelling word meaning at scale, but much remains to be done to put these computational models to the test of historical scholarship (see e.g. Beelen et al. 2021). More importantly, a lot of computational research looks at texts in a historical...Ridge, Mia ; Tolfo, Giorgia ; Westerling, Kalle ; Pedrazzini, Nilo ; McGillivray, Barbara
crowdsourcing, computational linguistics, and digital humanities
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2020
Abstract
Using smart annotations to map the geography of newspapers
Geographic information is a key component in the description of collection objects, and yet its format is often unsuited for use with methods of geographic analysis. Catalogue entries are often inconsistent, in plain text, and without geographic coordinates (much less coordinates linked to authority records). Georesolution of the relevant fields...Ryan, Yann ; Coll Ardanuy, Mariona ; van Strien, Daniel ; Hosseini, Kasra ; Beelen, Kaspar …
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2020
Conference paper (unpublished)
Contextualizing Victorian Newspapers
Beelen, Kaspar ; Ahnert, Ruth ; Beavan, David ; Coll Ardanuy, Mariona ; Hosseini, Kasra …
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2019
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2021
Research report
Living with Machines Delivery Plan version 1, 2019
Living with Machines is a five-year collaborative project. It aims to generate new perspectives on the effects of the mechanisation of labour on the lives of ordinary people in Britain during the 'long nineteenth century' (c.1780-1918), by developing computational and historical techniques and research questions for working with historical sources....Ahnert, Ruth ; Beavan, David ; Colavizza, Giovanni ; Farquhar, Adam ; Griffin, Emma …
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2021
Dataset
Collective Wisdom crowdsourcing organiser and volunteer survey results
Results from two short surveys run for the Collective Wisdom project. Funded by the UK Arts and Humanities Research Council (AHRC), the Collective Wisdom project captures the collective wisdom of researchers and practitioners in crowdsourcing, citizen history, citizen science and public / community participation in research with cultural heritage collections....Ridge, Mia ; Ferriter, Meghan ; Blickhan, Samantha