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Record W4213100385 · doi:10.1093/jrs/feaa104

Prosocial Development in Refugee Children

2020· article· en· W4213100385 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Refugee Studies · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProsocial behaviorRefugeeSympathyPsychologyDevelopmental psychologyMental healthNarrativeSocial psychologyPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Abstract Understanding how to best support resettled refugee children’s social adjustment is paramount, yet such research is scarce. In this study, we examined the prosocial functioning of refugee children who had recently resettled in Canada (N = 93; 5- to 12-year-olds; Mage = 8.16; 55% girls). Children described instances when they helped and received help from someone, and the motivations behind each helping behaviour. In narratives about providing help, children most frequently reported direct help. In narratives about receiving help, children most frequently described being taught something. Consistent with previous work with Western and non-refugee children, the children most frequently reported sympathy-based motives. However, they also frequently cited relationship-based motives—a finding which may be unique to refugee experiences (e.g. separation from family). We found developmental differences in the types of prosocial behaviours and motivations. Implications for future culturally sensitive assessments of refugee children’s positive social adjustment and mental health outcomes are discussed.

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 score0.283
Threshold uncertainty score0.382

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 studies0.0000.000
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 head0.051
GPT teacher head0.373
Teacher spread0.322 · 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