The Immigrant Experience, Child Feeding and Care: An Examination of the Determinants of Children's Health and Nutrition in Newcomer Families
Bibliographic record
Abstract
This study aims to examine how the migration experience influences newcomer mothers’ young child feeding and care practices and their children’s overall health. The thesis comprises three separate manuscripts, each of which examines one of the three intermediate determinants of the nutritional status of young children (UNICEF 1990): access to healthcare, household food insecurity, and child feeding and care practices. The research was conducted in Toronto’s Jane-Finch neighbourhood, a suburban neighbourhood home to a high density of newcomers. Thirty-two participants (16 Sri Lankan Tamil and 16 Latin American) who had migrated to Canada within the past five years as refugee claimants or family sponsored immigrants participated in the study. Data collection consisted of semi-structured interviews with women from low-income households who had a child between the ages of 1 and 5 years. Spanish and Tamil speaking interviewers interviewed each participant two or three times. Data was analyzed using a mid-level approach in which broad analytical themes are determined prior to analysis and specific themes were then generated based on participants’ perspectives and are grounded in the data. The first manuscript examines newcomer mothers’ experiences accessing physicians for their children and identifies the major gaps between mothers’ expectations and their actual experiences that lead to barriers in communication and overall patient dissatisfaction. The second manuscript demonstrates that mothers’ past experiences with food insecurity affect two aspects of the construct of food insecurity: its managed aspect and its temporal nature. This finding has implications for the measurement of food insecurity in newcomer populations. The third manuscript reveals that newcomer mothers are exposed to several parallel and often conflicting systems of knowledge concerning health and nutrition for their children, and that their utilization of Canada’s Food Guide is impeded by its failure to acknowledge alternate parallel knowledge systems. These findings can be applied to the development of social and health policy aimed at improving cultural competency in healthcare and nutrition education and at ameliorating the income constraints leading to household food insecurity.
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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 | 0.002 | 0.003 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".