MétaCan
Menu
Back to cohort
Record W2765643415

Argument quality: An interdisciplinary perspective

2009· article· en· W2765643415 on OpenAlexaboutno aff
John Fox, Ulrike Hahn, Mike Oaksford, John Woods, Frans van Eemeren

Bibliographic record

VenueeScholarship (California Digital Library) · 2009
Typearticle
Languageen
FieldComputer Science
TopicMulti-Agent Systems and Negotiation
Canadian institutionsnot available
Fundersnot available
KeywordsArgumentation theoryArgument (complex analysis)RhetoricIgnoranceSociologyEpistemologyPerspective (graphical)PhilosophyTheologyArtMedicine
DOInot available

Abstract

fetched live from OpenAlex

Argument quality: An interdisciplinary perspective Participants Ulrike Hahn (hahnu@cf.ac.uk) John Woods (jhwoods@interchange.ubc.ca) School of Psychology, Cardiff University, Park Place, Cardiff, CF10 3AT, UK Dept. of Philosophy, University of British Columbia, Vancouver, B.C., V6T 1Z4, Canada Dept. of Computer Science, King’s College London, The Strand, London, WC2R 2LS, UK Frans van Eemeren (F.H.vanEemeren@uva.nl) Dept. of Speech Communication, Argumentation Theory and Rhetoric, University of Amsterdam Amsterdam, 1012 VB, Netherlands John Fox (john.fox@eng.ox.ac.uk) Dept. of Engineering Science, University of Oxford Parks Road, Oxford OX1 3PJ, UK Discussant Mike Oaksford (m.oaksford@bbk.ac.uk) School of Psychology, Birkbeck College, University of London Malet Str., London, WC1E 7HX, UK Keywords: argumentation, argument quality, fallacies of argumentation. success, that is, about what –descriptively- ‘works’ in convincing others of a position. At the same time, however, researchers in all of the above areas are necessarily engaged in the question of what should convince us, and which are the appropriate normative standards against which argument quality should be judged. So-called fallacies of argumentation have had a central role in the question of argument quality. Fallacies are arguments that might seem correct but aren’t, that is, arguments that might persuade but really should not. Well- known examples include circular arguments (“God exists because the Bible says so and the Bible is the word of God”), arguments from ignorance (“Ghosts exist, because no-one has proven that they don’t”), ad hominem arguments or simple appeals to authority. These informal arguments are pervasive in everyday discourse. On a theoretical level, fallacies have been a longstanding focus of debate. Catalogues of reasoning and argumentation fallacies originate with Aristotle and continue to concern philosophers, logicians, and argumentation theorists to this day. The longstanding goal of fallacies research has been to provide a comprehensive treatment of these fallacies that can explain exactly why they are ‘bad’ arguments. In other words, the fallacies are a litmus test for our theories of argument quality. Though seemingly a simple question, it has proven extremely difficult to provide a comprehensive answer to the question of ‘what makes a good argument’. The normative question has attracted the formal tools of logic and, more recently, probability theory, and a pragma- dialectical emphasis on norms underlying argumentative discourse, such as rights to reply, and burdens of proof. Even though the issue of argument quality is prominent within its associated disciplines, the topic has had little presence at meetings of the Cognitive Science Society. The aim of the symposium is to bring the breadth of current interdisciplinary research on this topic to the attention of a cognitive science audience. All speakers are key exponents Introduction Argumentation is central to our complex world, in particular to our social world. It pervades law, politics, academia, and everyday negotiation of what to do and how. Given its centrality, it is not surprising that it is the concern of a wide range of disciplines: philosophy, psychology, education, logic and computer science all have large research programs dealing with argumentation, though they differ in the aspects they emphasize. Philosophers have traditionally focussed on normative theories, that is, theories of how we should behave. The traditional standard here has been formal logic, but more recently, pragma-dialectical theories have focussed on the norms and conventions governing argumentative process as a means of overcoming some of the limitations of logical analysis. Within psychology, ‘persuasion’ has been an important topic of social psychological research. This has led to a vast literature that has identified many of the moderating variables (e.g., speaker likeability, engagement, mode of presentation, fit with prior beliefs) that affect the degree to which a persuasive communication will be effective. Developmental and education research have focused on the way children’s argumentation skills develop, and examined ways in which critical thinking and argument skills might be fostered. Logicians and computer scientists have sought to devise novel frameworks for dealing with dialectical information, seeking to capture the structural relationships between theses, rebuttals, and supporting arguments with the degree of explicitness necessary for the design of computational argumentation system. A shared, focal concern for all of these areas is the issue of argument quality: what makes a good argument, and how can good arguments be distinguished from bad ones? This question has two aspects- one descriptive and one normative. On a descriptive level, this question is about

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.012
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.293
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship (California Digital Library)Same topicMulti-Agent Systems and NegotiationFrench-language works237,207