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Record W1531355746 · doi:10.22004/ag.econ.16570

CASE STUDY -- GUATEMALAN RASPBERRIES AND CYCLOSPORA

2003· article· en· W1531355746 on OpenAlexaboutno aff
Linda Calvin, Luis Flores, William Foster

Bibliographic record

VenueAgEcon Search (University of Minnesota, USA) · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsCyclosporaOutbreakEnvironmental healthGeographyPublicityFood safetyDisease controlMedicineBusinessEcologyBiologyVirology

Abstract

fetched live from OpenAlex

Guatemalan raspberry industry began exporting to the United States in the late 1980s, filling a market niche in the spring and fall when supplies were low.By 1996, Guatemalan raspberry exports were increasing rapidly, up 113 percent from the previous season.That spring and early summer, the U.S. Centers for Disease Control and Prevention (CDC) and Health Canada received reports of more than 1,465 cases of food-borne illness from Cyclospora, a protozoan parasite.Although no one died, the large number of cases generated substantial adverse publicity.Initially, investigators linked the outbreak to California strawberries, but they finally decided that it was associated with Guatemalan raspberries.This case study reviews the efforts to resolve this food safety problem.It is a cautionary tale about the serious impact a food safety outbreak can have on a promising industry.By the time raspberries were identified as the most likely source of contamination, the Guatemalan spring season was over, so the United States took no immediate regulatory action.The U.S. Food and Drug Administration (FDA) and the CDC sent a team of investigators to Guatemala to observe growing conditions.Because Cyclospora was relatively unknown and had never before been associated with raspberries, no one knew which farms or berries were contaminated, how they became contaminated, or how to solve the problem.The Guatemalan Berry Commission (GBC), a growers' organization, responded slowly to the outbreak.Growers came to no consensus on whether there was a problem and were reluctant to accept the FDA's assertion that the contaminated product came from Guatemala, since the claim was based on epidemiology alone with no physical proof.(In fact, the FDA did not find physical evidence of Cyclospora contamination on Guatemalan raspberries until 2000.)Microbial contamination is often low level and sporadic, which makes it difficult to detect.And with perishable produce there is rarely anything left to test by the time an investigation begins.Some growers suspected that the problem was really a trade barrier to protect the U.S. industry from Guatemalan competition.Lack of scientific information compounded the industry's problems in formulating a response.By 1997, the GBC had developed a system to characterize a farm's risk potential: only low-risk farms could export in the spring season.However, the plan had no enforcement mechanism and no traceback system.That spring another large outbreak of food-borne illness in the United States and Canada implicated Guatemalan raspberries.After consulting with the FDA, the GBC voluntarily stopped exporting raspberries to the United States in May 1997.After a second season of contamination problems, both the GBC and the government of Guatemala realized that more

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.244
Teacher spread0.187 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2003
Admission routes1
Has abstractyes

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