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Record W4399364516 · doi:10.1093/fqsafe/fyae030

Development of an online food safety toolbox based on the Codex Alimentarius General Principles of Food Hygiene: engaging users through mapping, chunking, and learning-by-asking

2024· article· en· W4399364516 on OpenAlex
Mahdiyeh Hasani, Brenda Zai, Lara Jane Warriner, Cornelia Boesch, Christine Kopko, Fabiana Marafiotti, Keith Warriner

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

VenueFood Quality and Safety · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsToolboxFood safetyFood hygieneChunking (psychology)HygieneFood scienceBusinessComputer scienceMedicineBiologyArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Objectives The paper describes designing and developing an online food safety toolbox that aims to elevate the food safety knowledge of food business operators, competent authorities, and trainers. Materials and Methods The material within the food safety toolbox was based on the Codex Alimentarius (Codex) General Principles of Food Hygiene (GPFH), an internationally recognized primary food safety standard. The GPFH provides a guide to elements that should be considered when establishing good hygienic practices (GHPs), which are subsequently managed through hazard analysis and critical control point (HACCP). To support the understanding of how to apply the principles of GHPs and HACCP, the online food safety toolbox was developed. This toolbox was designed to enable users to access the principles quickly as a reminder for better understanding of more complex matters and conceptualizing, building, and maintaining food safety management systems. The learning approaches applied in the design of the toolbox were mapping, chunking (grouping topics into a logic sequence to enable an incremental approach to learning), and learning-by-asking. The self-directed learning approach collectively enables the user to understand, categorize, and contextualize food safety information for practical use. Mapping was performed to identify the different elements within the GPFH that formed the basis of the online platform and the categories in which basic information was provided for each. Results The material progresses into greater depth in the final toolbox platform and includes links to detailed descriptions of the underlying science. This user-centric design was chosen to address different users’ needs and reduce the entry barrier for contextually applying the presented GHPs and HACCP. Conclusions The GHP and HACCP Toolbox for Food Safety should be regarded as a reference resource rather than a training program to empower the user and ultimately enhance food safety practices.

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)0.005
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.106
GPT teacher head0.320
Teacher spread0.214 · 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