Contextual Factors Influencing Chinese Early Study Abroad Students’ Acculturation Experiences in Canada: An Exploratory Study
Bibliographic record
Abstract
In order to explore the contextual factors that may influence Chinese early study abroad students’ acculturation experiences in Canada, we conducted in-depth interviews with 20 Chinese early study abroad students and 6 Chinese parents. Using Oppedal and Toppelberg’s acculturation development model as the analytical framework, we identify six microsystem factors (parents, host family, custodian, overseas-study service agent, friends, and church), two mesosystem factors (parents-custodian relationship and custodian-host family relationship), three exosystem factors (social services, public safety, and immigration policies), one majority culture macro factor (multiculturalism), and the time dimension are related to Chinese early study abroad students’ acculturation experiences. In addition to these factors, locosystem factors such as geography, physical environment, and climate of the city in which they live are also important. Based on these findings, we advise all stakeholders to create a supportive and sustainable environment for Chinese early study abroad students to live in Canada.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".