An assessment of the barriers to accessing food among food-insecure people in Cobourg, Ontario
Bibliographic record
Abstract
INTRODUCTION: Low-income people are most vulnerable to food insecurity; many turn to community and/or charitable food programs to receive free or low-cost food. This needs assessment aims to collect information on the barriers to accessing food programs, the opportunities for improving food access, the barriers to eating fresh vegetables and fruit, and the opportunities to increasing their consumption among food-insecure people in Cobourg, Ontario. METHODS: We interviewed food program clients using structured individual interviews consisting of mostly opened-ended questions. RESULTS: Food program clients identified barriers to using food programs as lack of transportation and the food programs having insufficient quantities of food or inconvenient operating hours. They also stated a lack of available vegetables and fruit at home, and income as barriers to eating more vegetables and fruit, but suggested a local fresh fruit and vegetable bulk-buying program called "Good Food Box" and community gardens as opportunities to help increase their vegetable and fruit intake. DISCUSSION: Many of the barriers and opportunities identified can be addressed by working with community partners to help low-income individuals become more food secure.
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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) | 0.001 | 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".