Immigrant families’ experience of the Canadian food and nutrition environment
Bibliographic record
Abstract
Upon arrival in Canada, immigrants are thrust into a new food environment, which is at an advanced stage of the nutrition transition continuum, encompassing reduced physical activity, sedentary lifestyles, and energy dense diets. In addition to the influence of readily available energy dense foods, immigrant children's food environments may also be impacted by limited availability of traditional foods, economic-constraints, time-constraints, parents' cooking skills, parents' child feeding styles, and school food environments. The study involved in-depth interviews with 22 immigrant parents regarding their family experiences of the food and nutrition environment, along with 22 participants from settlement agencies, community schools, English-as-a-second-language programmes, and healthcare organizations. Many newcomers shared experiences that highlighted drastic changes to their food environment upon arrival, including reduced access to open air fresh produce markets, increased access to large supermarkets, fast-paced lifestyles, and the pervasive presence of fast foods and snack foods. Some parents indicated that food purchase decisions were impacted by children's demands and that their children's school environments affected the types of foods their children would eat. A few service providers mentioned negative impacts on breastfeeding, and the change in physical environment as part of the nutrition environment due to association with vitamin D status. The early years are a pivotal time in the development of eating patterns; so supportive food and nutrition environments in homes, communities, and schools can ensure that children develop healthy eating habits to support long-term health.
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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 | 0.023 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".