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Record W4235234849 · doi:10.37693/pjos.2011.3.8834

Languaging Behaviour as Catalytic Process: Steps Towards a Theory of Living Language (PART II)

2011· article· en· W4235234849 on OpenAlexvenueno aff
Paul J. Thibault

Bibliographic record

VenuePublic Journal of Semiotics · 2011
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)LinguisticsSociologyEpistemologyComputer scienceCognitive sciencePsychologyPhilosophyProgramming language

Abstract

fetched live from OpenAlex

The Specificational Character of Linguistic InformationLinguistic information persists in the environment on the long, slow timescales of culture.Information in the Gibsonian perspective serves to regulate behaviour and, potentially, to change the animal's relationship to its environment.Moreover, information is a resource that must specify other environmental resources, as Reed (1996a: 48) points out, without being the same as those other resources.How does this apply to languaging behaviour?In Gibson's theory, information in the environment exists in structured ambient energy fields.The task of the animal is to locate the structure in such fields (Reed 1996a: 48).Information is specificational in Gibson's theoryit functions to specify particular environmental affordances.Structured ambient energy field remain invariant under certain transformations caused by the animal.Such invariants serve to specify persisting environmental resources.Information in a structured ambient energy field is a complex structuring of contrasts or differentiations caused by the ways in which an environmental event (e.g. a slamming door or a person's vocal tract activity) causes the acoustic or other medium to be restructured such that perceivers can become coupled to the source of the disturbance of the array, i.e. the environmental event.Languaging behaviour, I suggest, makes available to both the self and others just such structured ambient energy fields.The detection of invariants in this field includes the phonologically salient contrasts created by organ-specific vocal tract gestures (Section 15).Linguistic information as discussed above specifies something about the relevant environment in which it is uttered.Information of this kind remains invariant irrespective of what particular individuals do.This is what Gibson (1986Gibson ( [1979]]) called exterospecific information.Gibson distinguishes this kind of information from propriospecific information, which depends upon what the organism is doing now.The latter specifies how the animal is engaging with its environment.Both kinds of information are simultaneously available in the structured ambient energy fields generated by languaging behaviour.Exterospecific linguistic information includes the information generated by predicational relations in language.It is

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)0.002
metaresearch head score (Gemma)0.002
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 score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.016
Scholarly communication0.0070.008
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.055
GPT teacher head0.351
Teacher spread0.296 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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