<i>Food Insecurity and Dietary Intake</i>Of Immigrant Food Bank Users
Bibliographic record
Abstract
PURPOSE: The degree of food insecurity and dietary intake was examined in adult Colombians who are new immigrants to Canada and use a food bank. METHODS: In-person surveys were conducted on a convenience sample of 77 adult Colombian immigrant food bank users in London, Ontario. Degree of food insecurity was measured by the Radimer/Cornell questionnaire, food intakes by 24-hour recall, sociodemographics, and questionnaires about changes in dietary patterns before and after immigration. RESULTS: Thirty-six men and 41 women participated in the study. Despite being highly educated, all respondents had experienced some form of food insecurity within the previous 30 days. The degree of food insecurity seems to be inversely associated with income and length of residency in Canada. Total daily energy intake was low, with a mean value of 1,568.3 +/- 606.0 kcal (6,217.5 +/- 2,336.4 kJ). In particular, a large proportion of participants consumed a diet low in fruits and vegetables (73%) and milk and dairy products (58%). CONCLUSIONS: Colombian immigrant food bank users new to Canada experience various degrees of food insecurity, which is associated with inadequate food intake. Interventions are needed to assist this population with adapting to society while concurrently sustaining healthy eating patterns.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".