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Record W2132064650 · doi:10.37693/pjos.2007.1.8818

Principles of Corporeal Pragmatics

2007· article· en· W2132064650 on OpenAlexvenueno aff
Horst Ruthrof

Bibliographic record

VenuePublic Journal of Semiotics · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDeixisPragmaticsLinguisticsRedressCognitive linguisticsMeaning (existential)Philosophy of languageGriceNatural languageSign (mathematics)SemioticsNatural (archaeology)Semantics (computer science)Quantitative linguisticsArgument (complex analysis)Theoretical linguisticsNaturalismIntentionalityPhilosophyApplied linguisticsPsychologyCognitionEpistemologyComputer scienceMathematicsHistoryLiterature

Abstract

fetched live from OpenAlex

In response to recent findings in cognitive linguistics, the paper sums up the principles of ‘corporeal pragmatics’ as they have been developed so far. At the centre of the author’s perceptually oriented investigation of natural language stands the relation between natural language and perception. The paper charges the philosophy of language and linguistics with having for too long committed the sin of Wahrnehmungsvergessenheit, the forgetting of taking for ‘true’ what our senses tell us. The author proposes to redress this imbalance by an argument that linguistic meaning events rely essentially on the activation of empty linguistic schemata by conceptually regulated, iconic sign materials. Such a claim requires a redefinition of the Saussurean signified, the concept, reference and deixis and other terms in the vocabulary of the study of language. The paper concludes by suggesting that corporeal pragmatics has serious implications for disciplines well beyond philosophy, semiotics, and linguistics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.032
Scholarly communication0.0080.014
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.057
GPT teacher head0.258
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations5
Published2007
Admission routes1
Has abstractyes

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