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Record W2970165057 · doi:10.1002/casp.2438

From empathy to action: Can enhancing host‐society children's empathy promote positive attitudes and prosocial behaviour toward refugees?

2019· article· en· W2970165057 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Community & Applied Social Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsRefugeeEmpathyProsocial behaviorMediationPsychologyAction (physics)Social psychologyDevelopmental psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Abstract Over half of refugees are school‐aged children. In host communities, children's attitudes and behaviours are important for the integration of refugee children. This study examines the empathy–attitudes–action model in middle childhood ( N = 94, 8 to 11 years old). In both the experimental and control conditions, children were introduced to a (fictional) refugee and told that he or she would be moving to their school. The experimental condition also listened to a storybook about the child's refugee experience. Empathy, outgroup attitudes, and prosocial behaviour toward the incoming child, and refugees as a group, were measured. Although mediation was not supported, the storybook condition reported more empathy and helping intentions, and attitudes predicted helping intentions but not giving to refugees. Results highlight how host‐society children can welcome refugees.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.031
GPT teacher head0.383
Teacher spread0.352 · 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