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Record W2769221086 · doi:10.5325/philrhet.50.4.0566

Replicating Reasons: Arguments, Memes, and the Cognitive Environment

2017· article· en· W2769221086 on OpenAlex
Christopher W. Tindale

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.

Bibliographic record

VenuePhilosophy and Rhetoric · 2017
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsArgumentativeArgumentation theoryDialecticPersuasionEpistemologyCognitionMemeticsSociologyPsychologyCognitive scienceSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT Some arguments that are delivered in a dialectical exchange are never again recalled. Others are repeated again and again across argumentative situations and settle in a community's shared cognitive environment, thus demonstrating a memetic quality along lines that have become popular with several cultural theorists as a way of describing the evolution of culture. Moreover, some arguments may themselves act as memes. If memes “are replicators and tend to increase in number whenever they have the chance” (Blackmore 1999, 37), then they should be of interest to rhetoricians and argumentation theorists. I explore the relationship between arguments and memes, considering the nature of the meme and its argumentative potential. While controversial, meme theory promises to shed new light on how persuasion works in our mutual cognitive environments, and the attention it gives to how reasons move from mind to mind encourages the effort of the exploration.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.668
Threshold uncertainty score0.565

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 studies0.0010.000
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 head0.032
GPT teacher head0.291
Teacher spread0.259 · 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