Growth of local food systems: a review of potential food safety implications.
Bibliographic record
Abstract
Abstract In the USA, local food markets account for a growing share of agriculture production and with this growth come unique food safety challenges. Even though consumers often perceive local foods as safer and more wholesome, there is no evidence that local food products would be less prone to contamination with foodborne pathogens, especially since local foods generally receive less government oversight both at the federal and local levels. This paper reviews the history and growth of direct marketing venues for local food commodities and the food safety issues that have been identified or that could arise with increased growth. In addition, the current knowledge related to food safety education and outreach at local food outlets is discussed. This review concludes that, if left unaddressed, the role of local food commodities as vehicles of foodborne pathogens may become more significant and that food safety training and education that is specific to personnel (i.e. market managers, vendors, farm-to-school buyers) in direct-marketing venues is integral for the protection of public health, specifically consumers of local food commodities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".