Resilience in Context: A Brief and Culturally Grounded Measure for Syrian Refugee and Jordanian Host-Community Adolescents
Bibliographic record
Abstract
Validated measures are needed for assessing resilience in conflict settings. An Arabic version of the Child and Youth Resilience Measure (CYRM) was developed and tested in Jordan. Following qualitative work, surveys were implemented with male/female, refugee/nonrefugee samples (N = 603, 11-18 years). Confirmatory factor analyses tested three-factor structures for 28- and 12-item CYRMs and measurement equivalence across groups. CYRM-12 showed measurement reliability and face, content, construct (comparative fit index = .92-.98), and convergent validity. Gender-differentiated item loadings reflected resource access and social responsibilities. Resilience scores were inversely associated with mental health symptoms, and for Syrian refugees were unrelated to lifetime trauma exposure. In assessing individual, family, and community-level dimensions of resilience, the CYRM is a useful measure for research and practice with refugee and host-community youth.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".