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Record W2912701852 · doi:10.1515/lass-2017-030306

Stasis Salience and the Enthymemic Thesis

2017· article· en· W2912701852 on OpenAlex
Ying Yuan, Randy Allen Harris, Yan Jiang

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

VenueLanguage and Semiotic Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSalience (neuroscience)PsychologyHistoryCognitive psychology

Abstract

fetched live from OpenAlex

The argumentative stasis theory and enthymeme principles richly complement each other but they have rarely been investigated jointly. We correct this oversight first with a principled re-analysis of the stasis tradition, resulting in a double-layer stasis system: Cicero's later system (in De Oratore and Topica) with "action" stasis' subclassification, modified by Kenneth Burke's dramatic pentad of act, scene, agent, agency, purpose (in A Grammar of Motives). Then inspired by Ronald Langacker's salience theory in cognitive linguistics, we secure two stasis deployment strategies: selection (profile against base) and prominence (trajector against landmark). Stasis theory thus solidified, we examine how it interacts with the two central aspects of the enthymemic thesis: incompleteness and probability and how the enthymemic thesis helps explain the force of stasis theory. This inquiry contributes to rhetorical theory and criticism; argumentation studies; and linguistics, by showing the reach of salience theory.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.983

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 studies0.0010.002
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 head0.061
GPT teacher head0.301
Teacher spread0.240 · 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