Navigating mental health and community challenges: the Uyghur diaspora’s experience in Canada in the Xi Jinping era
Bibliographic record
Abstract
Purpose This paper aims to explore the mental health and community challenges of Uyghur immigrants in Canada under the current systemic oppression in the Uyghur homeland. Design methodology approach It is based on a survey of 113 adult immigrants and qualitative interviews of 10 men and 10 women participants. Findings The findings show that the Uyghurs in Canada experience a significant sense of trauma, mental health issues and community challenges due to the ongoing oppression in their homeland. Originality Value This study expands and updates the above discussions, exploring the ongoing, profound and multidimensional mental health challenges that members of the Canadian Uyghur diaspora face due to China’s continued oppression of the Uyghurs in East Turkistan (Xinjiang Uyghur Autonomous Region) post-2017. Meanwhile, the qualitative narrative data from in-depth interviews provide detailed insight into the community and social aspects of Uyghur collective trauma, representing a significant contribution. This research further underscores the pressing need for culturally sensitive interventions to address the complex psychological and social needs of this community.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.037 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| 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".