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Record W2620991875 · doi:10.1079/pavsnnr201510025

Growth of local food systems: a review of potential food safety implications.

2015· review· en· W2620991875 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCABI Reviews · 2015
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsCégep de Saint-Laurent
Fundersnot available
KeywordsFood safetyBusinessFood systemsOutreachSAFERLocal governmentAgricultureMarketingFood packagingGovernment (linguistics)Food industryFood securityEconomic growthEconomicsFood sciencePolitical scienceGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.852
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.274
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it