Chinese Characteristics and International Standards: Study on Evaluation System of Scientific and Technological Innovation Capacity of “Double First-Class” Universities
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
In the construction of “Double First-Class” universities, how to establish an evaluation system of universities’ scientific and technological innovation capacity with Chinese characteristics and international standards will determine the direction and level of improvement of Chinese university’s technological innovation capacity. The system of scientific and technological innovation in university is a complex system, and the existing evaluation index and evaluation system may be difficult to meet the actual needs of the national construction of “Double First-Class” universities in the new situation, so the evaluation index should be a breakthrough and innovation. This paper probes into the existing problems in the evaluation system of scientific research in China, systematically investigate the common and different features of scientific research evaluation in Britain, America, France and Australia, puts forward the new connotation of the structure dimension of Chinese universities’ scientific and technological innovation capacity, and points out the basic criterion of constructing the evaluation system of university scientific and technological innovation capacity: First, design of indicators should reflect the development trend of the world, and reflect the cultural characteristics and historical background of Chinese universities. Second, it is necessary to according to the “world standard”, reflect the value orientation and practice standard of Chinese university construction. Third, taking differentiated design and establishing a classification evaluation standard. Fourth, the evaluative dimension should reflect the diversification of evaluation content, especially considering to optimize overall scientific research ecology.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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