Cultivating Junior High School Students’ Cross-Cultural Awareness in EFL Context: Evidence From an Empirical Studies
Bibliographic record
Abstract
This paper is an attempt to paint a picture of cultivating junior high school students’ cross-cultural awareness in English as a Foreign Language (EFL) context. It starts with an investigation of the present situation of culture teaching, especially those problems in culture teaching. Culture teaching is long neglected or taken as a subordinate part of the language teaching in junior teaching practice. Worse still, the methods of culture teaching are sole and simple. The aim of culture teaching is misunderstood as a glimpse of cultural knowledge only, but not as an essential step to develop students’ correct attitudes and beliefs about the target culture. Therefore, the cultivation of cultural awareness is nearly ignored in junior English teaching. This reality of English teaching results just from the influence of the old English teaching method, the pressure of the exam-oriented education, the teacher’s lack of cultural knowledge and cross-cultural awareness, and obscure understanding of culture teaching.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".