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Argument quality: An interdisciplinary perspective

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

Notice bibliographique

RevueeScholarship (California Digital Library) · 2009
Typearticle
Langueen
DomaineComputer Science
ThématiqueMulti-Agent Systems and Negotiation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArgumentation theoryArgument (complex analysis)RhetoricIgnoranceSociologyEpistemologyPerspective (graphical)PhilosophyTheologyArtMedicine
DOInon disponible

Résumé

récupéré en direct d'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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,248
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0020,012
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,293
Écart entre enseignants0,268 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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