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Record W2055865654 · doi:10.1080/17470218.2012.713367

Contextual influences on children's use of vocal affect cues during referential interpretation

2012· article· en· W2055865654 on OpenAlexafffund
Jared M. J. Berman, Susan A. Graham, Craig G. Chambers

Bibliographic record

VenueQuarterly Journal of Experimental Psychology · 2012
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of TorontoUniversity of Calgary
FundersAlberta InnovatesSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsAffect (linguistics)PsychologyUtteranceContext (archaeology)GazeCognitive psychologySocial psychologyLinguisticsCommunication

Abstract

fetched live from OpenAlex

In three experiments, we investigated 5-year-olds' sensitivity to speaker vocal affect during referential interpretation in cases where the indeterminacy is or is not resolved by speech information. In Experiment 1, analyses of eye gaze patterns and pointing behaviours indicated that 5-year-olds used vocal affect cues at the point where an ambiguous description was encountered. In Experiments 2 and 3, we used unambiguous situations to investigate how the referential context influences the ability to use affect cues earlier in the utterance. Here, we found a differential use of speaker vocal affect whereby 5-year-olds' referential hypotheses were influenced by negative vocal affect cues in advance of the noun, but not by positive affect cues. Together, our findings reveal how 5-year-olds use a speaker's vocal affect to identify potential referents in different contextual situations and also suggest that children may be more attuned to negative vocal affect than positive vocal affect, particularly early in an utterance.

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)0.005
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.366
Teacher spread0.336 · 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

Citations18
Published2012
Admission routes2
Has abstractyes

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