MétaCan
Menu
Back to cohort

The development of prudence in the face of varying future rewards

2007· article· en· W2023643874 on OpenAlexaff
Karen Lemmon, Chris Moore

Bibliographic record

VenueDevelopmental Science · 2007
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of TorontoDalhousie University
FundersSociety for Research in Child Development
KeywordsPsychologyPrudenceChoseDelay of gratificationGratificationIntertemporal choiceDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The choice to delay gratification, opting for a greater reward later instead of a smaller reward now, has been used as a measure of preschoolers' ability to make future-oriented decisions. The present studies investigated to what extent these choice tasks reflect children's ability to make choices in favour of their future self. In Experiment 1, preschoolers were presented with choices between a smaller immediate reward of one sticker and larger delayed rewards varying in amount from two to five stickers. Whereas 3-year-olds showed no increased tendency to choose the delayed option as quantity increased from two to five, 4-year-olds' future-oriented choices reflected the value of the delayed reward. In Experiment 2, preschoolers chose between immediate and delayed rewards that were equal in amount and varied between one and four stickers. Three-year-olds reliably chose the immediate reward and showed no differentiation among rewards, whereas 4-year-olds chose in a manner that suggested they were trying to satisfy both immediate and future desires. Together these results support the notion that future-oriented prudence reflects growth in concern for the future self.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.021
GPT teacher head0.317
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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

Citations83
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueDevelopmental ScienceSame topicChild and Animal Learning DevelopmentFrench-language works237,207