Ideological and Political Construction in Economics-Specific English Based on OBE and Cultivation of Global Competence
Bibliographic record
Abstract
Global competence is one of the key indicators for talent cultivation in the new era, and there is a notable consistency between the Outcomes-Based Education (OBE) philosophy and ideological and political education in educational objectives, teaching methods, and evaluation systems. This consistency provides the possibility for their mutual integration and promotion in educational practice. To adapt the reform requirements of foreign language education in universities under the background of the New Liberal Arts, it is necessary to explore an innovative teaching model that integrates ideological and political education with global competence based on the OBE philosophy. Taking English for Economics Majors as an example, this paper constructs an OBE-based ideological and political education teaching model with the goals of developing global competence and language ability. It proposes that by integrating the OBE philosophy into ideological and political education, the pertinence and effectiveness of ideological and political education can be further enhanced, thereby better achieving the educational goal of fostering virtue through education. The research findings offer insights into cultivating international foreign language talents with global competence.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".