From hope to reality: a case of a syrian refugee family resettling in Canada
Bibliographic record
Abstract
The increasing number of Syrian families seeking safety and security in Middle Eastern, European, and North American countries has given rise to conversations around resettlement and a timely and pertinent research theme. Through an arts-based lens reflecting on social integration post-arrival, trauma awareness, and resilience, this study follows one Syrian refugee family’s experience immigrating to Canada after living in Jordan, also as refugees. The study explores social and educational occurrences of oppression, belonging, and resilience among five family members (e.g., two parents and three children). The researchers postulate that refugee families need to adapt to a new country and meet the social expectations that often fall short of refugees’ new home’s reputation as a stable and safe place. The study informs critical refugee educational research and advocates for more situated resettlement practices in the facilitation of social integration.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.042 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".