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Record W1532361305

From quantal biomechanics to whole events: Toward a multidimensional model for emergent language

2012· article· en· W1532361305 on OpenAlexafffundvenue
Bryan Gick

Bibliographic record

VenueCanadian acoustics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsVocal tractArticulation (sociology)Manner of articulationComputer scienceSpeech productionSpace (punctuation)PhonologyCurrencyCognitive psychologyCognitive scienceSimulationPsychologySpeech recognitionLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The article describes an approach to speech articulation based on a view of vocal tract constrictors as physiological sphincter mechanisms. In this model, a particular constrictor (sphincter) can produce only one kind of constriction, and it does so using the inherent quantal biomechanical properties of sphincters. Within this space, those nonlinearities that facilitate the production of ecologically successful events function as attractors to behavior. These facilitative nonlinearities become the common currency of human ecological space, and coupled with an iterative learning simulator, are the basis for an emergent model of phonology or other patterned behavior. The common currency of this space is communicative advantage, and it is only by offering demonstrative communicative advantage that a behavior may be adopted as exerting an effect.

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 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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.882

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)0.0000.000

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 head0.038
GPT teacher head0.319
Teacher spread0.281 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2012
Admission routes3
Has abstractyes

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