An Intercultural Communication Study of Chinese and Malaysian University Students’ Refusal to Invitation
Bibliographic record
Abstract
One of the challenges brought about by intercultural communication is the cross-cultural understanding of what is meant by what is said in another culture. Performing a given communicative act in a different cultural background than the speakers’ own requires taking into consideration several issues in order not to be perceived as impolite, rude, or even offensive in the host community. The present study aims to investigate the pragmatic behavior of refusal to invitation by Chinese international university students and Malaysian university students in Malaysia. The second aim is to seek the respondents’ perception in the process of refusing an invitation regarding their cognition, language of thought, and perception of insistence after refusing an invitation. The subjects were selected from forty Chinese international students and forty Malaysian students at University Sains Malaysia, Malaysia. Data were collected through a written discourse completion task and an immediate structured post-interview.An analysis of the data demonstrated that both Chinese and Malaysian respondents used similar type of strategies when refusing an invitation; however, they were different in terms of the number of strategies (i.e. frequency) used in each situation. It is hoped that the present research will not only make contributions to the studies of refusal behavior in the intercultural communication in general but to the pragmatic behavior of refusal to invitation between Chinese international students and Malaysian students in particular.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".