Collective resilience in diaspora groups: a study of Kurdish youth in Canada and Sweden
Bibliographic record
Abstract
For decades, oppressive state policies have forced some Kurds to leave Turkey and seek refuge in Western countries, including Sweden and Canada. We conducted semi-structured interviews with Kurdish youth living in Canada and Sweden (N = 15) to explore the role of identity-related grievances in their involvement in the Kurdish movement, a political movement comprised of an array of actors including an armed group, political parties, and civil society organizations. By implementing the Building Resilience Against Violent Extremism (BRAVE) tool, we investigated their collective resilience against calls for violence, extremist views, and challenges caused by repression. Findings indicated that the major factors in their involvement were the restrictions on their language, culture, and identity; the discrimination and injustices against them and their community; the traumatic events that they experienced or witnessed; and the involvement of their family and community members in the movement. The overall resilience scores of the participants were high (M = 58.67 out of a potential 14–70), but they scored lower when their relationship with Turkish authorities is considered (M = 53.13; SD = 5.65) than with their host countries after resettlement (M = 58. 67; SD = 6.25).
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".