Bibliographic record
Abstract
The aim of the study was to examine the psychological resilience of the Syrian refugee children (11-18 ages) and their acculturation strategies.The quantitative data were collected from 957 Syrian refugee children and the qualitative data were collected from six people having working experience with Syrian refugee children. “Child and Youth Resilience Measure-12”, “Vancouver Index of Acculturation”, “Social Contact Scale-R”, “Multidimensional Scale of Perceived Social Support”, “Sense of School Belonging Subscale”, General Self-Efficacy Scale”, “Children's Hope Scale”, and “Turkish Proficiency Level Questionnaire” were used in data collection process. “Vancouver Index of Acculturation” was adapted to Turkish and Arabic, “Social Contact Scale-R” and “Sense of School Belonging Subscale” were adapted to Arabic. The results of the research showed that high level of hope, perceived social support from family, quantity of social contact and sense of school belonging increased the psychological resilience of the Syrian refugee children. When the integration strategy was taken as a reference category, Syrian refugee children with low quality and quantity of social contact, low perceived social support from friends and low hope level, and high perceived social support from significant others use separation strategy. Syrian refugee children with the low perceived social support from friends and family, and low hope level and high quantity of social contact prefere assimilation. Syrian refugee children with the low hope level, low quality of social contact, low perceived social support from family and low sense of school belonging level prefere marginalization. Additonally, the qualitative findings of the study supported the quantitative results.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".