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Record W2416295195 · doi:10.1111/desc.12417

Preschoolers’ generosity increases with understanding of the affective benefits of sharing

2016· article· en· W2416295195 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDevelopmental Science · 2016
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGenerosityProsocial behaviorPsychologyHappinessAnticipation (artificial intelligence)Developmental psychologyMechanism (biology)FeelingCognitionSocial psychologyRelation (database)Cognitive psychologyNeuroscience

Abstract

fetched live from OpenAlex

Research has demonstrated that sharing with others is rewarding, suggesting a proximal mechanism of humans' extraordinary tendency to engage in prosocial behavior. The current study explored the cognitive basis of the relation between generosity and happiness early in ontogeny. We demonstrate that preschool children understand the relation between generosity and happiness. Moreover, our results show that children's emotion ratings are predictive for their subsequent sharing behavior. This finding provides evidence for the theoretical claim that prosocial behavior may be related to the anticipation of positive feelings, and that this mechanism may explain early instances of generosity in preschool 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.

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 score0.015
Threshold uncertainty score0.203

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 studies0.0000.001
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 head0.070
GPT teacher head0.288
Teacher spread0.217 · 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