Alluvial Graphs for the published paper "The Double Life of Pagan Dance"
<p>Figure 7: Alluvial Graph of Initial ‘Dataset of Terms and Tropes’. Article Theme or Type, Population Described, Terms Used, and Article Trope of ‘paganism’. This graph tracks a diversity of language used in newspapers in relation to ‘pagan dance’ ide- as, and explores the patterns of such language in newspaper writings. The dataset further highlights the predominance of ‘pagan dance’ language in historical, holi- day, and preacher articles that address the topic in newspapers within the Chron- icling America digital newspaper archive of the Library of Congress. A variety of Christian opinions and white descriptions of Indigenous dance dominate the ‘pagan dance’ discourse in the dataset.<br> Developed in collaboration with Jan-Erik Stange and Franziska Diehr by use of Open Refine and RawGraphs.</p> <p>Figure 8: Alluvial Graph of ‘pagan dance’ articles by newspaper, year, and theme. This graph provides a more detailed look at what newspapers were consulted from the digital archive, from what years, as well as which ‘pagan dance’ article themes/ types. The aim of this research has been to be as exhaustive as possible and the dataset includes all ‘pagan dance’ articles discovered in the archive that address ‘pagan dance’ in the time frame studied.<br> Developed in collaboration with Jan-Erik Stange and Franziska Diehr by use of Open Refine and RawGraphs.</p> <p>Acknowledgements<br> I would like to acknowledge Franziska Diehr for her feedback and support work, which greatly helped me in the process of data modelling. The data visualisations would not have happened without the work of Jan-Erik Stange, who developed the data visualisation plan and walked me through working with Open Refine and Raw Graphs. I would also like to acknowledge the critical feedback of Anita Traninger and Bart Soethaert, as well as the work of Lisa Poggel developing initial R scripts that will be used in future research of this topic.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4
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