Ideological and Political Education of College Students in the New Media Environment—Taking Haiyuan College of Kunming Medical University as an Example
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
Based on the current new media environment, new development possibilities and new challenges have emerged in the teaching methods, teaching contents, ideological and political value orientation and other modules of college students' ideological and political education. However, there are also many problems and weaknesses to be solved in the implementation and practice of the current ideological and political education for college students. Therefore, if colleges and universities want to overcome the drawbacks and problems of ideological and political education of college students under the current new media environment, they need to actively explore innovative ways of ideological and political education, improve the effective guarantee institutions for students' ideological and political education, and skillfully penetrate the elements of the development of the times, in order to strengthen the faculty of ideological and political education, enrich the methods of ideological and political education in combination with the new media environment, and cultivate students to establish correct ideological and political awareness. We should let the effect of college students' ideological and political education be further improved and enhanced in the new media environment.
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 | 0.000 | 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 | 0.001 |
| 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