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Natural Observation of Early Social Interactions in Infants in Vanuatu

2023· preprint· en· W4385878608 on OpenAlexaff
Zahra Halavani, H. Henny Yeung, Tanya Broesch

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGesturePsychologyNatural (archaeology)Action (physics)Nonverbal communicationDevelopmental psychologyInfant developmentCognitive psychologyLinguisticsHistory

Abstract

fetched live from OpenAlex

Infant-directed speech (IDS) has been shown to play a key role in language development. Previous research, however, has also shown significant variability across societies in terms of how often IDS occurs. Here, we ask whether infant-directed communication (IDC)— which includes both IDS and other non-verbal infant-directed behaviours supporting social and communicative development, has a different balance of verbal and non-verbal communication in Tanna compared to what is seen in the wider literature. We examine video observations of 22 one-year olds to identify the non-verbal features of IDC that occur across cultures. First, we will measure and analyze the proportions of the observed times for IDC dimensions— i.e., speech, action, gesture, emotion, and touch, while parents engage with infants, via a linear mixed effects model. Next, we will compare our findings on these dimensions in Vanuatu to what has been reported in Western societies. Consistent with previous studies, we expect to observe less IDS in Tanna than what is typically observed in the literature. Critically, we also expect to see more non-verbal communicative modification compared to verbal communicative modification. The present work is the first to examine the non-verbal features of IDC in a non-Western society.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.995

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 integrity0.0000.001
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 head0.083
GPT teacher head0.389
Teacher spread0.305 · 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 teacher head, 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

Citations1
Published2023
Admission routes1
Has abstractyes

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