Assessing the barriers and facilitators to food security that influence dietary changes among refugees
Bibliographic record
Abstract
Objective: Refugees experience food challenges upon resettling in their host country. However, there is currently limited Canadian literature that reviews food security among refugees who resettle in Canada. This thesis will assess the barriers and facilitators to food security that influence the dietary changes of refugees who resettle in Hamilton, Ontario, from the perspective of the service providers as well as the refugees. Methods: A qualitative method was applied. Nine individual semi-structured interviews were carried out with service providers in Hamilton. Twelve refugees participated in one of three focus group interviews conducted in the languages of Arabic, Somali, or Spanish. Interviews were transcribed. The data was coded using a qualitative analysis software, NVivo 10. A social ecological model was used to analyse how facilitators and barriers at various levels of influence affect food security among refugees. Levels of influence included: intrapersonal, interpersonal, organizational, community, and public policy. Findings: While several diet-related health concerns were mentioned by refugees, it is difficult to attribute these to diet-related causes since the psychological stress of resettlement was also cited as a causal factor of refugees. While both service providers and refugees agree upon certain facilitators and barriers to food security among refugees at each level of influence in the social ecological model, there were also differences between the two perspectives identified. Different issues were also identified between refugee claimants and government assisted refugees (GARs) who came from refugee camps. Conclusion: The complex relationship between various factors identified at different levels of the social ecological model demonstrate a need for a collaborative, multi-level intervention approach to optimize changes required to improve food security among refugees living in Hamilton.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".