Language Use and Adaptation Among Iranian Immigrants in Canada: Insights from the COVID-19 Era and Beyond
Bibliographic record
Abstract
The COVID-19 pandemic significantly influenced various aspects of life, including the linguistic and social integration of immigrants. This study focused on Iranian immigrants in Canada to explore how the pandemic affected their language use, communication patterns, and adaptation processes. The primary purpose of this research was to investigate the impact of the pandemic on language practices, including the challenges faced in communication due to mask-wearing, the shift to virtual interactions, and changes in language learning and usage. Additionally, the study examined how English language proficiency affected participants' ability to navigate the challenges of integration during this period. The participants in this study included 60 Iranian immigrants residing in different provinces of Canada, with a particular focus on those who migrated before or during the pandemic. Data collection involved a mixed-methods approach: quantitative data were gathered through structured questionnaire, while qualitative data were collected via semi-structured interviews. The instruments used were designed to examine language proficiency, communication difficulties, and the impact of social and linguistic barriers. The procedures included distributing surveys and conducting interviews with participants to gain a comprehensive understanding of their experiences. The results revealed that the pandemic posed significant challenges to communication, particularly due to mask-wearing and reduced face-to-face interactions. Many participants reported difficulties in adapting to virtual communication platforms, which often required higher levels of English proficiency. Despite these challenges, some participants demonstrated resilience by actively seeking opportunities to improve their language skills through online learning or community resources. Findings also indicated that those with higher levels of English proficiency adapted more effectively to the constraints imposed by the pandemic. In conclusion, this study highlights the complex interplay between public health crises and immigrant experiences, emphasizing the critical role of language in social and cultural integration. The findings suggest that language support programs, focusing on pandemic-specific challenges, are essential for immigrant communities. Policymakers, educators, and community organizations should prioritize creating flexible and accessible language learning opportunities to address barriers to integration.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".