Characterizing Profiles of Alternative Food Source Utilization Among New Food Bank Users in Urban, Semi-Urban, and Rural Settings in Quebec (Canada)
Why this work is in the frame
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Bibliographic record
Abstract
This study aimed to characterize alternative food source (AFS) utilization profiles among newly registered food bank (FB) users in urban, semi-urban, and rural settings. A cross-sectional analysis was conducted on the baseline data of the Pathways Study, a cohort of newly registered FB-users in Québec (2018–2020). Participants aged between 18–63 responsible for household food acquisition (n = 990) were included. Latent class analysis was used to classify FB-users into three latent AFS utilization profiles: FB-Exclusive-users, FB-Fruit/Vegetable-Market-users, and Multiple-AFS-users. The socio-demographic factors related to AFS utilization profiles vary across settings. These differences should be considered to improve AFS access.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it