Research on the Supervision and Regulation Mode of Production Safety in China, Germany and Canada
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.
Bibliographic record
Abstract
China is a developing country with rapid economic development and has made many remarkable achievements. However, the foundation of production safety is relatively weak, and the situation of production safety is still severe behind the rapid economic growth, and there is still a certain gap compared with Germany, Canada and other developed countries. Therefore, this article expounds the theory of safety production supervision mode, and then taking the supervision mode of production safety of Chinese government as the basic research object, from the development course, organization setup and management configuration and so on combing the current (until 2017) safety production supervision mode in Chinese government, and puts forward the status quo in the face of regulatory problems. In addition ,based on the research and analysis of the safety production supervision mode of the German and Canadian governments, the advanced experience and methods of the safety production supervision mode of the two governments are summarized, and through comparison, some suggestions on the supervision mode of production safety suitable for China’s national conditions are put forward, which provide theoretical support for the Chinese government or enterprise managers to do a good job in the management of production safety.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it