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Record W4402563071 · doi:10.1016/j.jecp.2024.106068

Turkish- and English-speaking 3-year-old children are sensitive to the evidential strength of claims when revising their beliefs

2024· article· en· W4402563071 on OpenAlexafffundabout
F. Ece Özkan, Samuel Ronfard, Çağla Aydın, Bahar Köymen

Bibliographic record

VenueJournal of Experimental Child Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaTempleton World Charity FoundationOsteo Science Foundation
KeywordsPsychologyTurkishLinguisticsDevelopmental psychology

Abstract

fetched live from OpenAlex

• 3-year-olds can evaluate the evidential strength of a claim when revising their beliefs. • Turkish- and English-speaking children evaluate the evidential strength of a claim the same way. • Being exposed to languages with evidential marking may not provide an advantage in evaluating information reliability. Individuals revise their beliefs based on the evidential strength of others’ claims. Unlike English, in languages such as Turkish evidential marking is obligatory; speakers must express whether their claims are based on direct observation or not. We investigated whether Turkish- and English-speaking 3- and 5-year-olds ( N = 146; 72 girls; based in Turkey and Canada) differed in their belief revision after hearing claims based on direct observation, indirect observation, or inference. We found the same pattern in both linguistic groups; the 3-year-olds revised their beliefs more often when they heard claims based on direct observation and inference than on indirect observation, whereas the 5-year-olds showed no difference across different claims. By age 3, Turkish- and English-speaking children are sensitive to the strength of claims when revising their beliefs.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.016
GPT teacher head0.315
Teacher spread0.299 · 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
Published2024
Admission routes3
Has abstractyes

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