Exploring food security among recently resettled Syrian refugees: results from a qualitative study in two Canadian cities
Bibliographic record
Abstract
Purpose This study aims to provide a qualitative in-depth account of the status and experience of food insecurity for Syrian refugee households in Toronto and Saskatoon, Canada. The study considers the range of geographic, socio-economic, cultural and gendered components shaping and determining the barriers and management of food insecurity. Design/methodology/approach The study included 54 semi-structured interviews with refugee families in Toronto and Saskatoon who resettled in Canada after November 2015. In addition, 15 semi-structured in-person or telephone interviews were conducted with settlement and support agencies to measure their capacity to respond to issues of food insecurity for Syrian refugees. Findings Syrian refugees reported experiencing food insecurity as part of the broader resettlement journey, including in the transitional phase of refuge and in each settlement context in Canada. Income status in Canada was reported as a key barrier to food security. Low-income barriers to food security were experienced and shaped by factors including food affordability, physical access and availability and the extent of familial or other support networks including sponsorship relationships. Participants also reported how managing food insecurity contributed to the intensification of gender expectations. Originality/value The analysis reveals food insecurity as both an income and non-income based concern for refugees during the process of resettlement. The study also highlights the importance of considering variations between primary barriers to food security identified by Syrian families and key informants as critical to the development of strategies designed to mitigate the impacts of resettlement on food security.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".