Research on the Scientific Research Evaluation Innovation System of Humanities and Social Sciences in Research I Universities under the New Situation
Bibliographic record
Abstract
In this article, the authors believe that research evaluation is a crucial method for scientific management in colleges, as well as an important reference for configuration of scientific resources. With development of knowledge economics in 21st century, research evaluation has become more and more profound. As a pronounced part of national innovation system, colleges are filled with talents, massive knowledge and complete scientific innovation system, which are considered as main force of innovation on knowledge and science. In new situation, comprehensive reformation of advanced education is fully implemented and construction of ‘Dual-First Class’ is completely started. In addition, development of philosophy and social science and construction of Chinese characterized innovation system philosophy and social science are tactic missions to research-based universities. As a consequent, completed evaluation system for researches in art and social science is required for research-based universities. Colleges are supposed to encourage everyone to build a ‘free and compatible’ academic environment, and to convert ‘project and product-based’ focus into ‘academic development-based’ focus. It requires colleges to values desire of original innovation and social value as the highest standard of evaluation system of art and social scientific research in order to guide teachers to achieve research product with high quality. Meanwhile, emphasize the importance of the experts’ status in the evaluation method, and use the academy as the lead and administration as the protection to provide support platform and long-term mechanism for the major breakthroughs in scientific research performance of the teaching and research staff.
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How this classification was reachedexpand
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 | 0.053 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.025 | 0.011 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".