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Record W2060880543 · doi:10.2298/psi1001085k

Is syntactic working memory language specific?

2010· article· en· W2060880543 on OpenAlexaff
Vanja Kljajević

Bibliographic record

VenuePsihologija · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsCarleton University
Fundersnot available
KeywordsModularity (biology)Sentence processingSyntaxCognitionSentenceMechanism (biology)Computer scienceCognitive scienceWorking memoryInterpretation (philosophy)PsychologyCognitive psychologyNatural language processingNeuroscienceProgramming language

Abstract

fetched live from OpenAlex

One question that has emerged from recent studies on sentence processing pertains to the nature of a specific cognitive mechanism implicated in maintenance of unintegrated syntactic information in ongoing sentence processing. In addition to evidence from language, recent research on musical syntax has suggested that processing of musical sequences may require a similar cognitive mechanism. In this paper evidence is discussed for the implication of syntactic working memory (SWM) in processing of language and musical syntax, arithmetic sequences, as well as in complex motor movements used with a specific expressive purpose. The idea is that an anticipatory structure-building component governs interpretation in each of these domains by processing relevant integrations within sequences of structurally dependent elements. The concept of SWM is anchored in representational modularity and the shared syntactic integration resources hypothesis, and empirically supported by neurophysiological and neuroimaging evidence.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.051
GPT teacher head0.308
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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

Citations26
Published2010
Admission routes1
Has abstractyes

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