Research on Path of the New Colleges and Universities Think Tank Construction With Chinese Characteristics
Bibliographic record
Abstract
Think tank construction and development level are gradually becoming an important component of a national governance system. Has also become an influence in the world political power structure and economic order which sustained significant changes “soft power”. Think tank in response to the challenges of globalization, it must play an irreplaceable role to give advice and suggestions to the government. Universities Think tank it is one of the important forces on Chinese Think tank construction. The construction of the new universities think tank with Chinese characteristics under the new historical conditions of service of the government scientific decision making, to solve development problems, the urgent need for comprehensive deepening reform, to enhance or improve the country’s soft power, promoting national governance systems and governance ability modernization in great significance. According to the resources of advantages, the policy research process, achievement publication, promotion programs and many other perspective views, Chinese University think tank has the official and unique Think tank and among them Think tanks do not have the unique advantage. But there are also the outcome of the decision making contribution to the think tank is low, the problem social influence is not strong and so on. China’s University think tank construction is facing new development opportunities, how to maximize an elaboration in universities Think tank advantages and characteristics. At the same time, effectively avoid new problems which may arise, it is the key point of this research.
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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".