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Record W2124472107 · doi:10.1037/0012-1649.40.5.746

Multiple Labels for Objects in Conversations With Young Children: Parents' Language and Children's Developing Expectations About Word Meanings.

2004· article· en· W2124472107 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDevelopmental Psychology · 2004
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsQueen's University
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsPsychologyCategorizationVocabularyBridging (networking)PreferenceCreaturesVocabulary developmentLexiconDevelopmental psychologyComprehensionWord learningLanguage developmentObject (grammar)LinguisticsCognitive psychologySocial psychologyTeaching method

Abstract

fetched live from OpenAlex

Children sometimes seem to expect words to have mutually exclusive meanings in certain contexts of early word learning. In 2 studies, 12- to 24-month-old children and their parents were videotaped as they engaged in conversations while playing with sets of toys (sea creatures, vehicles, doll clothing) in free-play, storytelling, and categorization contexts. In both studies, parents demonstrated a reliable preference to provide just 1 label for a given object. Importantly, parents' violations of this preference were usually accompanied by clarifying (or "bridging") information that either indicated the relation between the 2 labels or suggested that 1 of the labels was appropriate. Further, in some contexts, parents' tendency to use multiple labels and to provide bridging information for multiple labels was correlated with children's productive vocabulary. It is argued that these findings support a socio-pragmatic hypothesis about the origins of children's early beliefs about word meanings.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

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 head0.013
GPT teacher head0.292
Teacher spread0.279 · 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