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Record W2483317183 · doi:10.1075/slcs.144.11men

Sensorimotor constraints and the organization of sound patterns

2013· book-chapter· en· W2483317183 on OpenAlexaff
Lucie Ménard

Bibliographic record

VenueStudies in language companion series · 2013
Typebook-chapter
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsCentre for Research on Brain Language and MusicUniversité du Québec à Montréal
Fundersnot available
KeywordsSound (geography)Mechanism (biology)PerceptionLinguisticsSound productionCommunicationSound changePsychologyComputer scienceCognitive scienceNeuroscienceAcousticsPhysicsPhilosophy

Abstract

fetched live from OpenAlex

In this chapter, we explore the relationships between sensorimotor constraints and the organization of sound patterns. An investigation of universal tendencies found in languages of the world reveals some recurrent patterns that are hypothesized to be related to the speaker’s production mechanism and the listener’s perceptual system. Linguistic/phonemic representations would thus be tightly related to physical and peripheral constraints, suggesting that the origins of languages are to be found, at least partly, in the human body.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.063
GPT teacher head0.350
Teacher spread0.287 · 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.

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

Citations5
Published2013
Admission routes1
Has abstractyes

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