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Record W4246154636 · doi:10.31234/osf.io/rsv3y

The roles of perspective and language in children's ability to delay gratification

2019· preprint· en· W4246154636 on OpenAlexaff
Caitlin E. V. Mahy, Louis J. Moses, Bronwyn O'Brien, Alex Castro, Leia Kopp, Cristina M. Atance

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of OttawaBrock University
Fundersnot available
KeywordsPerspective (graphical)DistancingPsychologyGratificationConstrual level theoryNormativeDelay of gratificationPreferenceDevelopmental psychologyTask (project management)Perspective-takingCognitive psychologySocial psychologyComputer scienceCoronavirus disease 2019 (COVID-19)Mathematics

Abstract

fetched live from OpenAlex

Increasing psychological distance is an established method for improving children’s performance in a number of self-regulation tasks. For example, using a delay of gratification (DoG) task, Prencipe and Zelazo (2005) showed that 3-year-olds delay more for “other” than they do for “self”, whereas 4-year-olds make similar choices for self and other. However, to our knowledge, no work has manipulated language to increase psychological distance in children. In two experiments, we sought to manipulate psychological distance by replicating Prencipe and Zelazo’s age-related findings and extending them to older children (Experiment 1), and also to manipulate psychological distance using the auxiliary verbs “want” and “should” to prime more impulsive, preference-based decisions or more normative, optimal decisions (Experiment 2). In Experiment 1, 96 3- to 7-year-olds showed age-related improvements and interactive effects between age and perspective on DoG performance. In Experiment 2, 132 3- to 7-year-olds showed age-related improvements and a marginal interaction between age and perspective on DoG performance but no effect of auxiliary verbs was detected. Results are discussed in terms of differing developmental trajectories of DoG for self and other due to psychological distancing, and how taking another’s perspective may boost DoG in younger, but not older children.

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 score0.200
Threshold uncertainty score0.304

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 integrity0.0000.000
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 head0.008
GPT teacher head0.296
Teacher spread0.287 · 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".

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Citations1
Published2019
Admission routes1
Has abstractyes

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