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Abstract
‘Quantitative Drama Analytics’ (QuaDramA) is a mixed-methods project that brings together researchers from modern German literature and computational linguistics, thus belonging to the field of computational literary studies. The goal of the project is to define, annotate, automatically detect, and quantitatively analyze different dramatic character types in German-language plays. To this end, we extract textual and structural properties from plays and investigate their distribution among literary characters, such as Romeo and Juliet. One of the key decisions in any mixed-methods project is to agree on a specific collaboration workflow between the different parties, yet this decision is rarely made deliberately and explicitly. In QuaDramA, the collaboration is based on three pillars. (i) Text annotation is used to both clarify concepts and enrich data required in machine learning. (ii) The different project parts perform close and frequent personal collaboration, particularly in the beginning of the project. In addition, quantitative analyses are made by researchers from both disciplines by using generic programming tools (thus avoiding the need for custom graphical user interfaces). (iii) Quantitative and qualitative research methods go hand in hand and are closely integrated. We discuss the reasoning behind these pillars in this article and provide some recommendations for projects with a similar setup.
BibTeX
@incollection{pagel2023a,
address = {Bielefeld},
author = {Janis Pagel and Benjamin Krautter and Melanie Andresen and Marcus Willand and Nils Reiter},
booktitle = {{Mixing Methods. Practical Insights from the Humanities in the Digital Age}},
doi = {10.14361/9783839469132},
editor = {Birgit Schneider and Beate Löffler and Tino Mager and Carola Hein},
month = {10},
pages = {81--102},
publisher = {Bielefeld University Press},
series = {Digital Humanities Research},
title = {{On Designing Collaboration in a Mixed-Methods Scenario. Reflecting Quantitative Drama Analytics (QuaDrama)}},
volume = {7},
year = {2023},
}
RIS
TY - CHAP TI - On Designing Collaboration in a Mixed-Methods Scenario. Reflecting Quantitative Drama Analytics (QuaDrama) AU - Janis Pagel AU - Benjamin Krautter AU - Melanie Andresen AU - Marcus Willand AU - Nils Reiter ED - Birgit Schneider ED - Beate Löffler ED - Tino Mager ED - Carola Hein PY - 2023 CY - Bielefeld J2 - Mixing Methods. Practical Insights from the Humanities in the Digital Age DO - 10.14361/9783839469132 PB - Bielefeld University Press SP - 81 EP - 102 VL - 7 ER -