Immigration and food insecurity: social and nutritional issues for recent immigrants in Montreal, Canada
Bibliographic record
Abstract
Purpose The purpose of this research is to measure changes in food habits of first‐generation immigrants in Montreal (Quebec, Canada), as well as their self‐declared state of health and physical activity level. A subset of the sample was found to be in a state of food insecurity (FI). Design/methodology/approach A supervised questionnaire was administered to 506 adult allophone immigrants attending French‐language courses, autumn 2011. A FI indicator was developed and applied to this sample. The authors discuss the concept of FI and issues about measurements of FI. Findings In total, 10 per cent of the sample was found to suffer from FI, which has a negative impact on fruit, vegetables, dairy product, fish and red meat consumption, and diet quality in general. FI shows a positive correlation with changes in state of health and lifestyle and the development of chronic disease such as type 2 diabetes and coronary heart disease. Results also show that certain groups are more at risk, that FI prevalence decreases with the years of residence and that FI is a deep source of anxiety. Originality/value FI should be monitored in a more systematic manner in recent immigrant populations and be specifically addressed in immigrant integration policies. The authors also stress that problems occurring because of FI are rooted in the incapacity and the failure of the social programs to protect very low income families from harmful consequences of poverty.
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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 | 0.000 | 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".