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Record W2772219500 · doi:10.2966/scrip.140217.168

Argument Invention with the Carneades Argumentation System

2017· article· en· W2772219500 on OpenAlex
Douglas Walton, Thomas F. Gordon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSCRIPTed A Journal of Law Technology & Society · 2017
Typearticle
Languageen
FieldComputer Science
TopicMulti-Agent Systems and Negotiation
Canadian institutionsUniversity of Windsor
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsArgumentation theoryArgument (complex analysis)Argument mapRhetorical questionRhetoricWatsonEpistemologyComputer scienceIBMPhilosophyArtificial intelligenceLinguistics

Abstract

fetched live from OpenAlex

Argument invention (inventio) has traditionally been regarded as one of the five main components of rhetoric, but has remained an ambiguous, vague and highly contested concept, made even more confusing by its dependence on the Aristotelian topics, supposedly the places in which the rhetorical persuader can find arguments useful to support or attack a claim. The advent of two recently developed computational tools for argument invention, the Carneades Argumentation System and IBM’s Watson Debater tool, calls for a rethinking of the notion of argument invention in line with the state of the art of formal and computational argumentation systems in artificial intelligence. The role of argumentation schemes is an important part of this investigation into argument invention.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.258
Teacher spread0.237 · 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