Dietary Acculturation of Arab Immigrants: In the Greater Toronto Area
Bibliographic record
Abstract
PURPOSE: We explored the eating habits of Arab immigrants to determine whether they have maintained their traditional diet or have consumed a more Westernized diet since immigrating to Canada. METHODS: Arab immigrants who had been in Canada for at least eight years and were currently living in the Greater Toronto Area were recruited. A sample of 24 Arab immigrants completed a mailed, self-administered questionnaire, and six participated in a focus group. The focus group discussion was transcribed verbatim and results were recorded. Latent content analysis was used to analyze, code, and categorize emerging themes. RESULTS: Arab immigrants consumed a mixture of both Arabic and Western food and perceived their current diet to be healthier than it was before they immigrated to Canada. Factors that influenced their food choices included increased nutrition health awareness, differences in food preferences and preparation methods, and preservation of dietary practices in the new environment. CONCLUSIONS: Our findings will help dietitians who work with Arab immigrants to become more aware of factors that motivate this group's food choices, and to create nutrition programs that are more culturally sensitive.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".