Exploring the Intercultural Communication Experiences of Pakistani Immigrants in Canada
Bibliographic record
Abstract
The main aim of this study is to investigate the experiences of Pakistani immigrants on intercultural communication in engaging with the people of different cultures and languages for their pursuit of livelihood. The purposive sampling was followed in the selection of participants living in Mississauga, Vancouver and Toronto in Canada. The researcher conducted semi structured interviews of the eight participants of different age groups. The group of experts validated the collected data. This study is of qualitative approach, and the data was analyzed through the thematic analysis paradigm laid by Braun & Clark (2006). They had more personalized and nearer communication exchanges with greater politeness as they identified numerous barriers and bottlenecks to the way of developing the relational accommodation and space in Canadian culture. They also had some undesirable communication experiences of having free contact and access to public services. This study stands to be different one from the viewpoint of Pakistani immigrants. Effective means of intercultural communication involve a procedure of personal upbringing and self-reflection. It needs more self-awareness and assurance both on public and personal level for eradiating the undesirability among relationships of different cultures assembled at the same place as in Canada by being person-entered and public-centered intercultural communication.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.023 | 0.006 |
| Scholarly communication | 0.005 | 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".