The Defects of Anti-corruption Literature since 1990 and Revelation of the Legal Awareness in China
Bibliographic record
Abstract
Anti-corruption literature sprouted up and prospered in China ever since 1990s, and such literature has significant meaning for the governmental fight against corruption. Anti-corruption literature is very popular and has great influence in Chinese readers. However, the analysis of such kind of literature reveals the defects in artistic form and subject content despite the superficial stories of it cater the taste of the readers. The defects are caused by the traditional thought mode and habit, especially the consciousness of ruling by the upright officers and the officialdom thought. The cultural background of China facilitates the birth and prosperity of anti-corruption literature, but at the same time it results in the defects of anti-corruption literature. For almost both the readers and writers, the legal awareness is lacked of, and the lack of it is not only one factor of corruption in reality, but also one cause of the defects of the Chinese anti-corruption literature since 1990. From the defects one can get the revelation of the legal awareness in China.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".