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Record W2098833989 · doi:10.1037//0012-1649.38.6.993

Children use whole-part juxtaposition as a pragmatic cue to word meaning.

2002· article· en· W2098833989 on OpenAlexaff
Megan M. Saylor, Mark A. Sabbagh, Dare A. Baldwin

Bibliographic record

VenueDevelopmental Psychology · 2002
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyMeaning (existential)LinguisticsFlexibility (engineering)Object (grammar)Cognitive psychologyWord (group theory)CommunicationCognitive science

Abstract

fetched live from OpenAlex

When parents label novel parts of familiar objects, they typically provide familiar whole-object terms before offering novel part terms (e.g., "See this cup? This is the rim."). Such whole-part juxtaposition might help children to accurately interpret the meaning of novel part terms, but it can do so only if they recognize the conjunction as a potential cue to part meaning. Two studies examined (a) whether 3- to 4-year-olds use whole-part juxtaposition to accurately interpret novel part terms and (b) how they might do so. Study 1 confirmed that children indeed use juxtaposition to guide learning of novel part terms. Furthermore, 2 control conditions clarified that children's use of juxtaposition was not simply due to memory effects, such as the facilitation of lexical access, nor to recognition of the grammatical frame that typically accompanies juxtaposition. Study 2 revealed that children readily use juxtaposition in a novel, gestural format. Such flexibility in recognizing and utilizing novel variants of juxtaposition strongly suggests that pragmatic understanding lies at the heart of children's sensitivity to whole-part juxtaposition.

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)0.001
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.034
GPT teacher head0.305
Teacher spread0.271 · 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

Citations35
Published2002
Admission routes1
Has abstractyes

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