College English Construction and Practice From the Perspective of Ideological and Political Education: Case Study of New Horizon College English
Bibliographic record
Abstract
As a general education course, College English had both instrumental and humanistic attributes (Cai, 2017), and it was an important carrier of ideological and political education. Starting from the current research status of ideological and political education of College English, this research carried out the exploration and practice of the construction approaches of it. Integrating theory with teaching practice, this research took the third version and book 3 of New Horizon College English as an example, chose part of the students of non-English majors of Grade 2019 in a university as the experimental class, and adopted the qualitative and quantitative analysis to explore the construction and practice approaches of the ideological and political education of College English from three aspects, ie. teacher’s quality, teaching resources and teaching content, so as to improve the teaching effect of ideological and political education of College English, and provide a set of approaches and methods which was universal for ideological and political education of College English. This research could also give some inspiration and guidance for the teaching reform and practice of ideological and political education of the foreign languages and other courses.
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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 | 0.003 | 0.006 |
| 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 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| 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".