Exploration and Practice of Innovation and Entrepreneurship Awareness Embedded in Experimental Teaching of Economic Management Major Undergraduates: A Case Study from China
Bibliographic record
Abstract
China has proposed a new strategy driven by innovation, placing scientific and technological innovation at the core of the country’s overall development, and seeing it as a strategic support for improving social productivity and overall national strength. This puts forward new requirements for the construction of high-level universities and the cultivation of high-level talents. Undergraduates are currently the largest reserve talents in colleges and universities. To meet the needs of the new situation, it is the right time to train undergraduates who are innovative and entrepreneurial. Deepening the reform of innovation and entrepreneurship education in colleges and universities is a practical need for undergraduates to realize the Chinese dream. Facing the urgency of society's need for innovative and entrepreneurial talents, there is an urgent need to embed innovative and entrepreneurial elements in the undergraduate training process. This requires further deepening reforms in the content, form and structure of education to meet the needs of undergraduates for innovation and entrepreneurship.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".