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Record W4400580755 · doi:10.5325/philrhet.57.1.0030

Figuring the Topos: Finding Common Ground in Cognitive Environments

2024· article· en· W4400580755 on OpenAlex
Michael Joseph Regier

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 · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTopos theoryFiguringCommon groundCognitionComputer scienceMathematicsPhysicsArtPsychologyCommunicationAstronomyLiterature

Abstract

fetched live from OpenAlex

ABSTRACT Effective communication relies on the use of rhetorical devices and strategies to make ideas present in the minds of an audience. By employing the concept of cognitive environments, we can use the visual analogy of making an idea “present” to its fullest effect, empowering our rhetorical skills and helping influence audience reception. In this article, the author argues that while cognitive environments do indeed provide a significant and important conceptual tool for understanding and anticipating an audience’s experiences, beliefs, and knowledge, a more robust sense of agreement is necessary. The article proposes the concept of a topos that serves as a shared meeting place within cognitive environments within which both author and audience contribute their background assumptions to find common ground and commonalities in interpretations. It is in figuring the topos effectively that cognitive environments can be more accurately and effectively mapped onto each other, and breaches between such environments can be productively bridged.

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: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.569

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)0.0010.000

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 head0.058
GPT teacher head0.270
Teacher spread0.211 · 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