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The Elusive Notion of “Argument Quality”

Argumentation, 2017
We all seem to have a sense of what good and bad arguments are, and there is a long history—focusing on fallacies—of trying to provide objective standards that would allow a clear separation of good and bad arguments. This contribution discusses the limits of attempts to determine the quality of arguments. It begins with defining bad arguments as those
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Narrative Qualities of Design Argumentation

2017
The narrative qualities of a design presentation and subsequent critique comprise a design argument, distilling designers’ rationale for their design, rooted in their process. In this paper, I analyze two consecutive design presentations from an introductory undergraduate human-centered design studio, documenting the argumentation structures students ...
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Bridging Argument Quality and Deliberative Quality Annotations with Adapters

Findings of the Association for Computational Linguistics: EACL 2023, 2023
Neele Falk, Gabriella Lapesa
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An investigation of the relationship between argument structure and essay quality in assessed writing

Journal of Second Language Writing, 2022
Xun Yan
exaly  

An Argument for State-Driven Quality Collaboratives

Clinics in Colon and Rectal Surgery, 2023
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Positive qualities and the ontological argument

2000
Inside a very general higher-order foundational framework, aimed at accomodating a variety of scientific theories, and thus by design less formal than that of mathematical formal systems, promoted by E. De Giorgi [see \textit{E. De Giorgi, M. Forti} and \textit{G. Lenzi}, Atti Accad. Naz. Lincei, Cl. Sci. Fis. Mat. Nat., IX. Ser., Rend.
FORTI, MARCO, HONSELL F.
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Consumers’ self-reported and brain responses to advertising post on Instagram: the effect of number of followers and argument quality

European Journal of Marketing, 2022
Rumen Pozharliev, Dario Rossi, Matteo de Angelis   +2 more
exaly  

Sensitivity to argument quality: adding Turkish data to the question of cultural variability versus universality

Communication Research Reports, 2022
Yeliz Demir, Jos Hornikx
exaly  

Estimating the quality of arguments in argument-based machine learning

2015
Argument-based machine learning (ABML) knowledge refinement loop enables an interaction between a machine learning algorithm and a domain expert. It represents a powerful knowledge elicitation tool, suitable for obtaining expert knowledge in difficult domains. The loop enables the expert to focus on the most critical parts of the current knowledge base,
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An exploration of the determinants of middle school students’ argument quality by classroom discourse analysis

Research in Science and Technological Education, 2023
Yilmaz Soysal
exaly