Enlightenment and Countermeasures: Canada HACCP System and Chinese Food Safety Supervision
Bibliographic record
Abstract
Food safety is a big issue for all countries over the world which is why strengthening food safety supervision is the inevitable choice for all governments. The Canadian federal government has used the HACCP system as the main method in food safety supervision. The system has made hazard analysis and key point control as its main tasks and it works during the whole process of food production, processing, circulation, and consumption. This system is proved to be an effective way for protecting food safety. The establishment of the Canada’s HAPPC system depends on its government’s efficient and uncorrupted supervision system, scientific and rigorous enhancement programs, open and transparent supervision process, and coordinative and cooperative resource integration. According to the enlightenment given by the Canadian HACCP system, China could construct its own independent food safety supervision organ during food safety supervision process, build public participation system for food safety supervision, and make full use of non-governmental organizations’ supporting functions during food safety supervision, and set up related HACCP system. Key words: Canada; HACCP system; China food safety supervision; Enlightenment; Countermeasures
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".