Be myself experiences of the post-90s of Chinese international students in Canadian universities
Bibliographic record
Abstract
This research aims to understand the experiences of a new generation of Chinese international students in Canadian universities and the role of their identities in shaping such experiences, including their resistance toward stereotypes. Data was collected through semi-structural, in-depth interviews with eight international students who were studying at universities in Southern Ontario, were from mainland China and were born during 1990s. The study leads to several major findings. First, these students did not necessarily internalize stereotypes about Chinese international students, China and Chinese culture from other groups, producing from lack of culture exchange, language barrier, cultural difference and the biased mass media, and that they also made their efforts to change this situation. Second, participants appeared to have different relationships with three groups in Chinese student communities. Third, informal support from individual social network was perceived much more effective than formal services on campus. Fourth, they viewed challenges they had experienced as a process of growth, and advanced technology and globalization also helped them to better adapt to the new environment. Across these findings, there is a dynamic relationship between these students’ experiences in Canadian universities and their identities in relation to their national, ethno-cultural, generational and international backgrounds. Although their generally positive and critical thinking on their experiences of studying abroad is related to their generation-related resources, common challenges they collectively encountered also indicate the importance of accessible institutional support.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.039 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".