MétaCan
Menu
Back to cohort
Record W2161042603 · doi:10.1177/0956797613479975

Experiencing a Natural Disaster Alters Children’s Altruistic Giving

2013· article· en· W2161042603 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

VenuePsychological Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyNatural disasterSuicide preventionPoison controlAltruism (biology)Natural (archaeology)Injury preventionHuman factors and ergonomicsProsocial behaviorSocial psychologyOccupational safety and healthDevelopmental psychologyMedical emergency

Abstract

fetched live from OpenAlex

Altruism is thought to be a major contributor to the development of large-scale human societies. However, much of the evidence supporting this belief comes from individuals living in pacific and often affluent environments. It is entirely unknown whether humans act altruistically when facing adversity. Adversity is arguably a common human experience (as manifested in, e.g., personal tragedies, political upheavals, and natural disasters). In the research reported here, we found that experiencing a natural disaster affected children's altruistic giving. Immediately after witnessing devastations caused by a major earthquake, 9-year-olds became more altruistic. In addition, the more empathic they were, the more they gave. In contrast, experiencing a major earthquake caused 6-year-olds to be more selfish. Three years after the earthquake, children's altruistic tendencies returned to pre-earthquake levels, which suggests that changes in children's altruistic giving are an acute response to the immediate aftermath of a major natural disaster. These findings suggest that environmental insults and empathy play crucial roles in human altruism.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.347
Teacher spread0.330 · 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