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Record W119089645

INFANTS' RECOGNITION OF FUNCTION WORDS IN CONTINUOUS SPEECH

2007· article· en· W119089645 on OpenAlexaff
Rushen Shi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyWord (group theory)Active listeningCompoundLinguisticsCommunicationPreferenceFunction (biology)Fixation (population genetics)MathematicsAudiologyNatural language processingComputer scienceBiologyStatisticsMedicine
DOInot available

Abstract

fetched live from OpenAlex

This study tests the hypothesis that function words are among the earliest word forms segmented by preverbal infants. In a visual fixation procedure, French-learning 8-month-old infants were familiarized to a function word, mes or ta. All infants were then tested with passages containing mes vs. ta. Looking times during the presentation of the two passage types were expected to differ if infants segmented the target functor. The results showed a significant interaction of passage type and sex. Although the direction of the looking preference is different for the two sexes, both groups showed a significant difference in listening times to the passage containing the target versus that containing the non-target. This suggests that both groups segmented the function words. The implications of functional elements for early lexical and syntactic acquisition are discussed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.993

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)0.0080.000

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 head0.016
GPT teacher head0.285
Teacher spread0.269 · 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 designObservational
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

Citations2
Published2007
Admission routes1
Has abstractyes

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