The Fragile Obligation: Gratitude, Discontent, and Dissent with Syrian Refugees in Canada
Bibliographic record
Abstract
This article analyzes the emotional lives of Syrian refugee mothers in the first year of their recent resettlement in Canada. Drawing on two waves of interviews with 41 newcomer mothers, we find three main affective themes in their resettlement narratives: gratitude, discontent, and dissent. Together, they capture a reality we term the fragile obligation, which reflects coexisting conditions of migratory indebtedness, disappointment, and critique. Inspired by foundational work in Critical Refugee Studies and Asian American/Ethnic Studies, centering refugee affect holds promise for revising dominant scholarly theories of immigrant integration, assimilation, and belonging from migrants’ perspectives in an era of widespread backlash, especially against Syrian and MENA/Muslim immigrants and refugees. By identifying complex post-migration affective states like the fragile obligation, researchers can help build more effective policies and practices to support Syrians and other forced migrants.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".