Acculturation and Dietary Acculturation among Arab Muslim Immigrants in Canada
Bibliographic record
Abstract
Purpose: The purpose of this work was to assess Arab Muslim immigrant mothers’ acculturation level, to explore apparent links between acculturation level and experiences of dietary changes, and to gather information on factors affecting dietary acculturation. Methods: Semi-structured individual interviews focusing on food choices were conducted with 24 mothers who had been in Canada 5 years or more. An adapted version of an existing acculturation scale was used to assess participants’ perception of their own acculturation. Results: Arab Muslim mothers retain traditional food preparation. However, several factors led to changes in their daily food consumption such as children’s preferences, time concerns, and availability of Arabic food. No significant relation was found between measured levels of acculturation and the adoption of Canadian food behaviour or the retention of preparation and consumption of traditional foods (dietary acculturation); however, a greater length of stay in Canada was somewhat associated with limitations on preparing traditional food. The findings indicated that many of the Arab Muslim mothers interviewed retain important aspects of their traditional cuisine. Conclusions: Dietary acculturation for Arab Muslim immigrants to Canada involved a balance between carrying forward food-related traditions and adapting to Canadian culture, including Canada’s food culture.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".