MétaCan
Menu
Back to cohort
Record W7128692545 · doi:10.1080/87565640709336886

Awareness and Symbol Use Improves Future-Oriented Decision Making in Preschoolers

2007· article· en· W7128692545 on OpenAlexaff
Nancy Garon, Chris Moore

Bibliographic record

VenueDevelopmental Neuropsychology · 2007
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSymbol (formal)CognitionNonverbal communicationSemantics (computer science)

Abstract

fetched live from OpenAlex

A child version of the Iowa Gambling task was used to explore the development of decision-making during the preschool period in two experiments. One hundred eighty-one children, 3.5 and 4.5 years of age, were asked to choose between a “bad” deck with higher immediate but lower long-term rewards and a “good” deck with lower immediate but higher long-term rewards. Experiment 1 explored age differences and the association of the gambling task with a delay of gratification task. Age differences in performance were found, supporting previous findings (CitationKerr & Zelazo, 2004) of a development difference between 3- and 4-year-old children in future-oriented decision making. Performance on the gambling task was found to be significantly associated with delay of gratification for 3.5-year-old children only. Experiment 2 explored the effect of labeling and symbol use on performance. Although having 4.5-year-old children label decks as good or bad improved their performance on the task, this labeling had no effect on 3.5-year-old children's performance. However, having 3.5-year-old children place a symbol representing “good” and “bad” next to the decks did improve performance, but only for those children who were able to correctly label the decks. These results suggest an interaction between conscious awareness, symbol use, and making advantageous future-oriented decisions during the preschool period.

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 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 score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.039
GPT teacher head0.379
Teacher spread0.340 · 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.

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

Citations4
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueDevelopmental NeuropsychologySame topicPsychological and Temporal Perspectives ResearchFrench-language works237,207