“Highly processed, highly packaged, very unhealthy. But they are low risk”: exploring intersections between community food security and food safety
Bibliographic record
Abstract
INTRODUCTION: Food insecurity and foodborne disease are important issues in Canada, and the public health actions taken to address them can be conceptualized as factors shaping the food environment. Given emerging evidence that these two areas may interrelate, the objective of this study was to explore ways in which community food security efforts and food safety practices (and the population health issues they aim to address) may intersect in British Columbia, Canada, and interpret what this might mean for conceptualizing and attaining healthier food environments. METHODS: We conducted 14 key informant interviews with practitioners working in community food security and food safety in British Columbia, and used qualitative descriptive analysis to identify examples of intersections between the sectors. RESULTS: Participants identified four key ways that the two sectors intersect. They identified (1) how their daily practices to promote safe or healthy food could be helped or hindered by the activities of the other sector; (2) that historically disjointed policies that do not consider multiple health outcomes related to food may complicate the interrelationship; (3) that the relationship of these sectors is also affected by the fact that specific types of food products, such as fresh produce, can be considered both risky and beneficial; and (4) that both sectors are working towards the same goal of improved population health, albeit viewing it through slightly different lenses. CONCLUSION: Food security and food safety connect in several ways, with implications for characterizing and improving Canadian food environments. Collaboration across separated public health areas related to food is needed when designing new programs or policies aimed at changing the way Canadians eat.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.025 | 0.020 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".