Food bank users: sociodemographic and nutritional characteristics
Bibliographic record
Abstract
Background: The continued expansion of food assistance programs makes it im-portant to examine the sociodemographic characteristics and nutritional profiles of people relying on this service. The authors undertook such a study in a large urban centre. Methods: A total of 490 food bank users were randomly selected from a stratified random sample of 57 urban food banks in Montreal. A questionnaire and a di-etary recall interview were given by a dietitian-interviewer to determine socio-economic, demographic and cultural characteristics and macronutrient intake. These data were compared with national and provincial data. Results: The mean age of the participants (256 men and 234 women) was 41 years; 204 (41.6%) were living alone and most (409 [83.5%]) were receiving social as-sistance benefits. These food bank users were well educated (190 [38.8%] had completed technical school or had a college or university education), and the sample included few elderly or disabled people. The median body mass index
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".