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Record W2118105965 · doi:10.1017/s0305000900004566

Two-year-old children's sensitivity to the referential (in)efficacy of their own pointing gestures

2001· article· en· W2118105965 on OpenAlexaff
Daniela K. O’Neill, Jane Topolovec‐Vranic

Bibliographic record

VenueJournal of Child Language · 2001
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGesturePsychologyObject (grammar)Nonverbal communicationLanguage developmentDevelopmental psychologyCommunicationCognitive psychologyLinguistics

Abstract

fetched live from OpenAlex

In three studies, two-year-old children communicated to a parent which of two out-of-reach objects contained a sticker. Across trials, the objects were positioned in different configurations so that it was possible or impossible for a child's pointing gesture to unambiguously specify one object. In Study 1, the objects used were two boxes distinguished by a different picture of a vehicle on the front, and children (n = 16; mean age 2;8) were significantly more likely to name the box's picture on trials where pointing alone could not unambiguously specify the box than on trials where it could. In Studies 2 and 3, the stickers were hidden inside different animal figures. Older two-year-olds (n = 16, mean age 2;9), but not younger two-year-olds (n = 16, mean age 2;4), showed an ability to recognize the referential (in)efficacy of their pointing gestures and to adapt their communication accordingly.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), 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

Citations96
Published2001
Admission routes1
Has abstractyes

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