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Record W2081337032 · doi:10.1300/j030v13n03_10

Fish Safety and Quality from the Perspective of Globalization

2004· article· en· W2081337032 on OpenAlexaboutno aff
G. Valdimarsson, Roland Cormier, Lahsen Ababouch

Bibliographic record

VenueJournal of Aquatic Food Product Technology · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsFood safetyBusinessFood safety risk analysisAgency (philosophy)Food chainHazard analysis and critical control pointsQuality (philosophy)Quality assuranceRisk analysis (engineering)HazardRisk assessmentRisk managementWork (physics)Multidisciplinary approachNormativeEnvironmental planningMarketingEngineeringPolitical scienceComputer scienceGeographyMedicineComputer securityFinance

Abstract

fetched live from OpenAlex

Major developments in the field of fish safety and quality have had a significant impact on international trade during the last few decades. Technological developments in fish handling and processing coupled with increasing consumer food safety and quality awareness have resulted in the adoption of HACCP-based systems and scientifically-based risk assessment methodologies. This is reflected in international regulatory framework of the SPS and TBT Agreements of the WTO and the normative work of CODEX Alimentarius. Based on available food borne illness reports, the decrease in food borne diseases has coincided with the implementation of HACCP-based food safety assurance measures. However, fish safety and quality issues related to indigenous microorganisms, chemical or veterinary drugs are increasingly of concern. This reflects the need for a food chain approach in the analysis of hazards and risks to develop integrated risk management strategies. However, a food chain approach also requires substantial multidisciplinary scientific information given the need of science-based risk analysis. This paper discusses these issues in terms of their practical implications and limitations. FAO provides direct assistance to member countries via the CODEX Committees and other expert groups with a focus on training and capacity building in developing countries. In response to increasing demands for pertinent and succinct scientific and technical information upon which to conduct adequate hazard and risk analysis, the FAO has launched the Aquatic Food Programme in collaboration with the Canadian Food Inspection Agency with the expectation of creating a peer reviewed comprehensive knowledge base of integrated aquatic food to safety and quality information from a food chain approach. This paper also discusses the major activities of the FAO Fisheries Department to assist member countries and promote international cooperation for the use of scientifically-based fish safety and quality standards.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.019
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.022
GPT teacher head0.247
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2004
Admission routes1
Has abstractyes

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