Government-Assisted Syrian Refugees' Perceptions of Dietary Acculturation in Canada
Bibliographic record
Abstract
Diet acculturation is a complicated process where refugees must discover new ways of consuming traditional foods, adopt new foods, or eliminate other foods from their diets in a host country. The purpose of this phenomenological case study was to explore the ways in which Syrian refugees describe diet acculturation since their arrival to a city in Southern Ontario. Individuals eligible to participate were government-assisted Syrian refugees who were at least 18 years old. Purposive and snowball sampling methods were used to recruit participants. Researcher-constructed, semi-structured, face-to-face interviews were used to collect data in Arabic. Data were recorded and transcribed verbatim in Arabic and then translated to English. Inductive coding, second-cycle coding and thematic analysis were used to analyze the data. Using the dietary acculturation model as a lens, the study found participants sought to maintain a connection to their Syrian identity through food, yet food prices, access, and quality and perceptions of health, along with children’s peer influence resulting in bicultural eating patterns impacted the participants’ experiences with dietary acculturation. The results of the study will assist food and nutrition professionals in understanding dietary acculturation in the Syrian refugee population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".