ACADEMIC, SOCIAL, AND CULTURAL ADAPTION OF INTERNATIONAL STUDENTS IN CANADA
Bibliographic record
Abstract
The study highlights three types of international students’ adaptation: academic, social and cultural. The most typical challenges in each adaptation are identified and described. Academic challenges include lack of language proficiency, different education values, interaction with the university faculty, staff and mates. Social issues for international students are living on- or off-campus, initial difficulties, independence and loneliness, relationship with domestic students and involving them into university life. Culturally, international students face the following challenges: culture shock, the lack of culture wellness. Thus, as demonstrated in this study, having a better understanding of these students’ challenges, university faculty and staff can recognize students’ needs and effectively offer supportive services. The university needs to be prepared to meet students not only academically but also socially and culturally. This study also describes the priorities in Canadian international education strategy that makes Canada one of the world’s top learning destinations. Federal and provincial governments Canada demonstrate their increasing interest in the global education market. It is reflected in the well-designed Canada’s International Strategy for 2014–2019. According to it, there are three key objectives before Canadian educational system: to encourage Canadian students to gain new skills through using opportunities to study and work abroad in key global markets, especially Asia; to diversify the range of countries international students come from to Canada, as well as their fields, levels of study, and location of study within Canada; increase support for Canadian educational institutions to help grow their export services and explore new opportunities abroad.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.023 | 0.005 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".