MétaCan
Menu
Back to cohort
Record W2097950590 · doi:10.1111/cdev.12075

Classifying Prosocial Behavior: Children's Responses to Instrumental Need, Emotional Distress, and Material Desire

2013· article· en· W2097950590 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueChild Development · 2013
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsProsocial behaviorPsychologyDevelopmental psychologyDistressTask (project management)Consistency (knowledge bases)Helping behaviorEmotional distressSocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

This study investigates the diversity of early prosocial behavior by examining the ability of ninety-five 2- to 4-year-olds to provide aid to an adult experimenter displaying instrumental need, emotional distress, and material desire. Children provided appropriate aid in response to each of these cues with high consistency over multiple trials. In contrast to the consistency with which the children provided aid within each task, there were no cross-task correlations, and the tendency to respond to each of the cues revealed unique developmental trajectories. Taken together, these results provide preliminary support for the importance of examining the cues to which children are responding and of differentiating between varieties of aid when considering the development of prosocial behavior.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.262
Teacher spread0.246 · 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