A Study on the Implementation of HACCP System Categories in the Honeybee Industry with Case Studies of Australian B-QUAL and Canadian CBISQT
Bibliographic record
Abstract
With the recent amendment of the Livestock Industry Act(LIA), honeybees have been classified as livestock, and rearing, disease control, and hygiene standards for honeybees are now applied similarly to other livestock. However, honeybees are not yet included as livestock under the Livestock Products Sanitation Control Act(LPSCA), and thus HACCP has not been applied to honeybee farms. This study investigated hygiene management systems currently applied to honeybee farms abroad and explored ways to adapt domestic HACCP standards for application to honeybee farms in Korea. Australia’s B-QUAL and Canada’s CBISQT certifications are internationally recognized farm food safety programs based on HACCP principles. These programs establish detailed hygiene standards for beekeeping facilities, processing equipment, veterinary drugs, and packaging materials, as well as monitoring and corrective actions for effective management. In Korea, HACCP is currently applied to livestock farms raising animals such as cattle, pigs, and chickens. We compared and evaluated existing farm HACCP criteria with domestic regulations and international standards to propose applicable criteria for honeybee industry. These findings indicate that applying HACCP to honeybee farms in Korea is feasible. The results of this study can serve as baseline data for establishing hygiene practices in apiaries. Further scientific hazard analysis on apicultural products will support the implementation of HACCP in beekeeping operations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".