Discussion on the Organic Integration of Ideological and Political Education in Colleges and Innovative and Entrepreneurial Education of College Students
Bibliographic record
Abstract
The ideological and political education in colleges is the important work throughout the whole process of college education and has the important guiding function in helping students to establish the correct outlook on life and value. The work, which involves students’ psychology, behavior, value, belief and all other aspects, is the important content to realize the all-around development of college students and create the new situation of higher education in China. Innovative and entrepreneurial education of college students is to consider college students as the main force of innovation and entrepreneurship and is the need to adapt to the current employment situation of college students and the development situation of innovation and entrepreneurship. The education of the two aspects is developed energetically by colleges and can effectively promote students’ development, so it is inevitable to realize the organic integration of the two in order to attain the new objective of talent training in colleges. This paper briefly discusses the problems concerning the organic integration of the two. That colleges deepen reform in education, organically integrate ideological and political education with innovative and entrepreneurial education is the key to meet the all-dimensional development need of college students in the new situation and improve college students’ comprehensive ability and quality, and is of practical significance for training high-quality excellent talents with the consciousness of responsibility for the society and improving college students’ employment difficulties etc.. At present, our country pays high attention to the two pieces of work so colleges’ organic integration of the two is the necessary means to realize the smooth implementation of the two and strengthen the working effect.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".