MétaCan
Menu
Back to cohort

Sources of Inflexibility in 6-Year-Olds' Understanding of Emotion in Speech

2003· article· en· W2112262648 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

VenueChild Development · 2003
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsParalanguagePsychologyPriming (agriculture)Content (measure theory)Cognitive psychologyDevelopmental psychologySocial psychologyCommunication

Abstract

fetched live from OpenAlex

When utterances contain conflicting emotion cues, 6-year-olds judge emotion from content, even when instructed to judge emotion from paralanguage (Morton & Trehub, 2001). Two experiments examined the nature of this bias. In Experiment 1, priming paralanguage reversed 6-year-olds' normal bias to content. In Experiment 2, 6-year-olds were instructed to listen to paralanguage under various conditions. Children were more likely to follow instructions delivered with feedback than instructions delivered alone. Children who described conflicts between content and paralanguage were more likely to follow instructions than children who did not describe these conflicts. Results suggest that 6-year-olds can judge emotion from paralanguage in the presence of competing content but often remain focused on content because of the way they represent the instructions.

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)0.001
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 score0.053
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.042
GPT teacher head0.287
Teacher spread0.246 · 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