Exploring Communication and Cultural Adaptation Practices Among Indonesian Diaspora Students at McGill University, Canada
Bibliographic record
Abstract
This study discusses the communication and cultural adaptation of Indonesian diaspora students who are studying abroad. The background of this research is rooted in the need to understand how students adjust to their surrounding environment and how they experience cultural adaptation while pursuing education overseas, where the culture and language differ from those of their hometowns. It is undeniable that Indonesian students face various challenges when studying abroad, such as adapting to a new environment, unfamiliar habits, and different patterns of interaction with groups or individuals. These challenges are influenced by several factors, including time, climate, academic environment, food, ethics, language, location, and cultural values, all of which have distinct characteristics. Barriers to communication adaptation can be observed in the ongoing communication process. The influencing factors include the communicators’ linguistic ability, the clarity of messages, the communication media used, the characteristics of the communicants, and the level of reciprocity within the communication interaction. This study employs a qualitative descriptive method, with Indonesian doctoral diaspora students at McGill University, Canada, serving as the research subjects. The results show that respondents needed time to adjust to their environment before they were eventually able to adapt well. The study concludes that adaptation, particularly the ability to understand the local culture and language plays a crucial role in enabling students to adjust successfully.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".