Establishment of Core Capacity and Capacity Index Based on an Outcome-Based Ideological and Political Education Major in Chinese Universities
Bibliographic record
Abstract
With the development of the society, most countries have begun to improve the level of education and are advocating the implementation of the theory of Outcome Based Education, which is used in this research to explore the development of a curriculum of Ideological and Political Education Major.The purpose is to determine the professional core competence, expand the core competence indicators, and determine the relative weight of the core competence indicators. 4 core capacities and 20 core capacity indices of the Ideological and Political Education Major in Chinese universities were established using the Modified Delphi Method with two types of expert questionnaires. The Analytic Hierarchy Process was used to establish a hierarchical structure, and the relative weight and ranking of each capacity index was calculated to ensure consistency and stability using the YAAHP software. The aim of the research is to further clarify the core capacity and capacity indices of education.
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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 | 0.001 | 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 | 0.000 |
| 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 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".