How to Be Non-Assertive in the 'Assertive Edition':Encoding Doubt in the Auden Musulin Papers

descriptionPublicationkeyboard_double_arrow_right Article , Presentation , Other literature type , Conference object 30 Jun 2023 English Publisher:ZenodoFunded by:FWF | A Digital Edition of W. H...

Authors: Frühwirth, Timo; Carloni, Massimiliano; Grigoriou, Dimitra; Mayer, Sandra; Stoxreiter, Daniel;

doi: 10.5281/zenodo.8107368 , 10.5281/zenodo.8140949 , 10.5281/zenodo.8140948 , 10.5281/zenodo.8107369

How to Be Non-Assertive in the 'Assertive Edition':Encoding Doubt in the Auden Musulin Papers

- Summary
- Subjects
- Metrics

Abstract

W. H. Auden was among the most influential twentieth-century poets. New digital-edition projects aim to contribute to investigating his life and work in Austria. While the model of 'assertive edition' helps to address both philologically- and historically/biographically-oriented research interests, this paper will focus on formally representing uncertainty and editorial interpretation.

Related Organizations

View all View all

Keywords

Paper, and methods, History, analysis, assertive edition, annotation structures, scholarly editing and editions development, TEI, scholarly digital edition, RDF, Short Presentation, Literary studies, systems, uncertainty, data modeling

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average