Experiences, challenges, and supports during studying and sojourning in Canada: the case of Chinese international students
Bibliographic record
Abstract
With the internationalization of education, Chinese students have constituted the largest international student group in the world as well as in Canada. The purpose of this study is to explore the experiences, challenges, and supports specific to the Chinese student population at Canadian universities. In order to triangulate the data from different sources, individual interviews with eight Chinese international students and three International Student Advisors were conducted in this qualitative research. Hofstede's theory on cultural dimensions and the bilinear model of acculturation and enculturation are applied to explain the findings about Chinese international students' experiences and challenges with regard to second language learning, academic studies, social interaction, post-graduation plans, and personal development and identity reshaping. Moreover, based on Chinese international students' awareness and use of supports available to them, this study has implications for practice as to how to improve their support system. Key words: Chinese international students; cultural dimensions; acculturation and enculturation; international student support; second language learning; academic studies; social interaction; post-graduationhengying plans; personal development; identity reshaping
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.047 | 0.013 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".