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Record W3037810395 · doi:10.17230/co-herencia.17.32.6

Self-deliberation and the Strategy of the Pseudo-dialogue

2020· article· en· W3037810395 on OpenAlexafffund
Christopher W. Tindale

Bibliographic record

VenueCo-herencia · 2020
Typearticle
Languageen
FieldComputer Science
TopicMulti-Agent Systems and Negotiation
Canadian institutionsUniversity of Windsor
FundersUniversity of Windsor
KeywordsDeliberationArgumentation theoryRhetorical questionRhetoricEpistemologyOddsPersuasionSociologyPsychologySocial psychologyPoliticsPolitical scienceComputer scienceLinguisticsPhilosophyLaw

Abstract

fetched live from OpenAlex

The New Rhetoric identifies the self-deliberator as one of three main types of audience. But such a turn toward the self is at odds with studies of contemporary argumentation, particularly social argumentation. Argumentation takes place “out there”, modifying the environments in which audiences operate. Equally interesting is the use of self-deliberation as a rhetorical strategy. Arguing with oneself, especially when that self is distanced in some way from the individual involved, employs self-deliberation beyond the ends that Perelman assigned to it. In this paper, my goal is to explore the nature of the self-deliberator as an audience and self-deliberation as a rhetorical strategy employed in argumentation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.149

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 communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.236
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2020
Admission routes2
Has abstractyes

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