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Record W4200229644 · doi:10.1093/jrs/feab042

Refugee children’s resilience: A qualitative social ecological study of life in a camp

2021· article· en· W4200229644 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 · 2021
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRefugeeResilience (materials science)Qualitative researchSociologyPsychological resiliencePsychologyEcologyDevelopmental psychologySocial psychologyGeographySocial scienceBiology

Abstract

fetched live from OpenAlex

Journal of Refugee Studies. doi:10.1093/jrs/feaa092. There were errors in the affiliations and corresponding author details of this paper. The author affiliations originally appeared as NILÜFER KURU Faculty of Education, Department of Early Childhood Education, Siirt University, Siirt Merkez/Siirt, Turkey and Dalhousie University/Resilience Research Centre, 6420 Coburg Road, Halifax, Nova Scotia B3H 4R2, Canada MICHAEL UNGAR Dalhousie University/Resilience Research Centre, 6420 Coburg Road, Halifax, Nova Scotia B3H 4R2, Canada [email protected] They should have appeared as NILÜFER KURU Department of Early Childhood Education, Siirt University, Siirt, Turkey; Resilience Research Centre, School of Social Work, Dalhousie University, Halifax, Canada [email protected] MICHAEL UNGAR Resilience Research Centre, School of Social Work, Dalhousie University, Halifax, Canada This has been corrected in print and online.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.068
GPT teacher head0.453
Teacher spread0.385 · 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