Exploration and Practice of Building a Cultural Education Model of "One Body, Two Wings, and Five Integration" in Local Universities
Bibliographic record
Abstract
This study delves into the theoretical basis, practical significance, and specific methods of establishing a "one body, two wings, and five integration" cultural education framework within local universities. Supporting the comprehensive implementation of the Party's educational instructions aims to significantly improve the cultural development level of higher education institutions by cultivating individuals who embody socialist core values. This educational model helps to cultivate capable socialist ideal builders and successors, with a focus on ideological and political education, teacher team building, and student growth, and emphasizes the key role of core values. This study develops detailed implementation strategies, including institutional guarantees, resource integration and quality management protocols, to ensure the effective implementation and sustainable development of this model. This study uses a practical case to illustrate the application of this model in a variety of academic and extra-curricular activities, highlighting how it can be an important tool for promoting the overall development of students and consolidating the cultural foundations of educational institutions. The proposed insights emphasize the necessity of a coordinated approach, which includes systematization, resource integration, and strict quality checks, paving the way for the sustainable development of this innovative education model.
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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 | 0.017 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.031 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".