Resilience within the Context of Refugee Youth Adaptation to New Life in Canada
Bibliographic record
Abstract
In response to recent refugee crises around the world, scholars have called for research on resilience among war-affected children and youth as an important area of focus that offers culturally and contextually relevant implications for effective support services. While empirical research on the resilience of refugee youth has been gradually increasing, the current scholarship still lacks social, cultural, and contextual sensitivity. As such, this dissertation research, which consists of three conceptually linked manuscripts, represents a purposeful attempt to address this gap by exploring the resilience of refugee youth in a postmigration Canadian context, with contributions to research, policy, and practice. Specifically, Manuscript 1 centres on the definition of refugee youth resilience as it relates to postmigration resettlement and explores the theoretical connections between resilience and positive adaptation. This manuscript proposes a culturally and contextually relevant conceptualization of resilience from the bioecological lens, integrating the three intertwined developmental, acculturative, and psychological perspectives. Manuscript 2 focuses on a critical and extensive review of the extant literature on refugee children and youth. It synthesizes empirical evidence from scholarship on young refugees’ resilience and presents a host of biological, psychological, social and cultural determinants of resilience, which interact with one another across multiple levels of social and ecological contexts to determine adaptive responds to stressful experiences. Finally, Manuscript 3 reflects qualitative research on pathways leading to positive adaptation to a Canadian postmigration context to provide knowledge about the pathways leading to resilience among refugee youth. It outlines a classic grounded theory study that generated a substantive theory conceptually explaining the underlying process of positive adaptation from the perspectives of 15 Canadian refugee youth. Together, findings from this dissertation research spur integration of knowledge and strategies to inform practice and policies to mitigate risk and promote resilience in multiple systems that shape refugee youth adaptation over the resettlement course.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.026 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".