Cultural Integration and English Language Learning of Chinese Students in Canadian Contexts
Bibliographic record
Abstract
Canada has an increasing number of Chinese international students, and although they demonstrate advanced language skills in English standardized tests, they encounter various cultural integration problems. This paper focuses on Chinese students studying in Canadian universities and analyzes the potential problems with English language education in China based on Chinese international students’ cultural integration experiences. The findings suggest that although cultural awareness is currently being emphasized in the English educational reforms in China, it will take time for its advantages to be noticed. The problems with English language education in China have led to a relatively weak cultural awareness of English learners in China who are affected by the traditional exam-oriented English language education. Secondly, traditional English instruction does not provide an understanding of cultural interactions. Now, the understanding of culture has developed to the stage of cultural reciprocity, but Chinese students’ understanding of culture in their English language learning is still at the stage of cultural integration through imitation. Finally, driven by external motivations, Chinese students have no clear understanding of their real learning motivation and are unwilling to integrate into Canadian social contexts due to language barriers and other reasons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| 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".