The politics left behind: how pre-migration and migration experiences shape Syrian refugees’ interest in home-county politics
Bibliographic record
Abstract
For those fleeing violent political conflict home-country politics may be uniquely challenging. Given the high stakes which refugees are more likely to engage in home country politics? This article focuses on two sets of factors: experiences of hardship in the context of emigration, transiting and settling to their destination country; and the ongoing social ties to family and friends left behind. For our analysis, we draw on a recently collected nationally representative survey of Syrian refugees in Canada (N = 1974). We find that among those resettled in Canada, experiences of hardships in Syria and while in transit in their interim country are associated with less engagement in the political affairs of Syria. On the other hand, those who have a harder time settling into life in Canada also tend to remain more interested in home-country politics. In contrast to some findings in research on labour migrants, those who maintain close personal ties to friends and family back in Syria remain more engaged with politics. Together, the findings highlight the unique pressures refugees face and the role these pressures may have on continued interest in the political affairs of their home country after migrating.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".