Study on the Cultivation of Idea of the Democracy and Ruling by Law for the Key Officials for Governance of CPC From the Perspective of the China Dream
Bibliographic record
Abstract
The democracy and ruling by law is the internal regulator to maintain the running of body for the modern society. The China Dream means to build a prosperous, democratic, civilized and harmonious wonderful country, and to construct a perfect society of freedom, equality, justice and ruling by law. Whether the democracy and ruling by law can be achieved in China, the crucial point lies on the ruling party, especially the key officials for governance of the Communist Party of China . The Eighteenth National Congress of the Communist Party of China put forward “the building of a contingent of competent key officials for governance”, which is the core forces to the leading of the realizing the socialist modern country, and the historic task of the rejuvenation of great Chinese Nation. However, the idea of democracy and ruling by law of the key officials for governance cannot fully meet the requirement of the reality. As a result, it is necessary not only to fight the corruption, uphold Party integrity and improve Party rules and regulations, but also to ensure that leading officials are guided by law to thinking and action in their effort to deepen reform, promote development, solve problems, and maintain stability. Then the idea of democracy and ruling by law for the key officials for governance can be enhanced fundamentally.
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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 | 0.003 |
| 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 | 0.013 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".