Feeding the Canadian Immigrant Family: an intersectional approach to meal preparation among immigrant families in Ontario
Bibliographic record
Abstract
In light of the positive association between home-cooked meals and healthier diets, many recent health promotion strategies have encouraged the public to cook more often at home. However, class, race/ethnicity, and gender inequalities often intersect in shaping food practices and also impact who takes on the work involved in “feeding the family”. There are reasons to believe that challenges in healthy eating may be exacerbated among immigrants. Building on the prior research conducted in this area, this article draws on in-depth qualitative interviews with 23 married immigrant men and women to explore the social relations and social practices involved in feeding the immigrant family. By adopting an intersectional life course approach, we show how gender, immigrant status, race/ethnicity and economic hardship during integration processes all intersect to shape family decision making around meal preparation and eating practices. Our findings highlight that migration is a notable turning point that may influence the division of labor within immigrant families, and how the social and policy context of the host country shapes who takes primary responsibility for food work.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".