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Record W3152388902

STUDY ON QUANTITATIVE GRADE ADMINISTRATION OF FOOD HYGIENE IN JIUJIANG

2009· article· en· W3152388902 on OpenAlexaboutno aff
Huang Xiang-jia

Bibliographic record

VenueXiandai yufang yixue · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsHygieneEnvironmental healthFood hygieneAdministration (probate law)Food safetyQuarter (Canadian coin)MedicineOccupational hygieneIgnoranceBusinessGeographyOccupational safety and health
DOInot available

Abstract

fetched live from OpenAlex

[Objective] To investigate the hygiene situation of food industry in Jiujiang;to analyze and assess the execution of Quantitative Grade Administration of Food Hygiene;to find the improvements and defects during the execution;to give suggestions on supervision strategy for next year.[Methods] General survey was made and data on Quantitative Grade Administration of Food Hygiene were collected for every quarter of 2006-2007.[Results] From 2006 to 2007,the number of licensed food-supplying units had almost doubled.Among all units(4 766,4th quarter in 2007),small ones had a proportion above 80%.They majorly belonged to C and D grade hygiene grade.The rest 20% middle-large units majorly(78.3%) belonged to hygiene B and C grade.Only 10 got A(1.2%).[Conclusion] Food industry is getting bigger and bigger in Jiujiang these years.But the majority is small units with poor hygiene condition,probably due to less knowledge,suboptimal hardware,and ignorance of the laws.The Middle-large units are better but still sub-optimal.In future,more efforts should be made in food supervision,especially the propagation of Quantitative Grade Administration of Food Hygiene,both among food-supplying units and customers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.192

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)0.0000.000

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 head0.062
GPT teacher head0.297
Teacher spread0.234 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2009
Admission routes1
Has abstractyes

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