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Record W2155618204 · doi:10.1017/s0305000902005524

The role of modelling and request type on symbolic comprehension of objects and gestures in young children

2003· article· en· W2155618204 on OpenAlexaff
Tricia Striano, Philippe Rochat, Maria Legerstee

Bibliographic record

VenueJournal of Child Language · 2003
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsYork University
Fundersnot available
KeywordsGestureComprehensionSymbol (formal)ReplicaObject (grammar)PsychologyContext (archaeology)CommunicationNonverbal communicationCognitive psychologyType (biology)LinguisticsDevelopmental psychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

In a first study, we considered whether modelling and the type of an adult's request influenced children's ability at 1;8 and 2;2 to comprehend gestures and replica objects as symbols for familiar objects. In a second study, we evaluated whether modelling and type of request influenced children's ability at 1;8 (N = 24) to understand unfamiliar (i.e. unconventional) objects as symbols. Results of Study 1 indicated that children at 2;2 comprehended a gesture as a symbol in the absence of any previous model demonstration. All children comprehended a replica as standing for another object, although modelling marginally improved children's performance at 2;2 and decreased performance at 1;8. In general, the type of request did not influence children's comprehension of gestures or replicas as symbols. Results of Study 2 showed that modelling and request type did not influence children's understanding of objects that are unconventional and novel, as symbols. The studies converge to suggest that symbolic comprehension is a highly context-dependent ability that continues to develop over the second year.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score0.194

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 head0.005
GPT teacher head0.245
Teacher spread0.239 · 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 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

Citations17
Published2003
Admission routes1
Has abstractyes

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