Cultural Approximation, Alienation and the Role of English as a Second Language in Canadian Society
Bibliographic record
Abstract
This study examined acculturation and adaptation of the immigrants in their new intercultural setting in Toronto, Canada, as well as the role of English language in their lives. The research made use of triangulation of methods as three types of instruments were used to collect the data: structured questionnaire, open-ended questionnaire and interview. Data were collected based on the immigrants’ perceptions on numerous variables for instance, acculturation attitudes, cultural identity, perceived discrimination, sociocultural adaptation, importance of English language, language proficiency and language difficulties, scope and facilities in Canada, immigrants’ point of view towards the society, their attempts to integrate with natives and so on. Sixty four immigrants from different countries participated in the study. It was discovered from the research findings that Canadian immigrants initially feel alienated and face numerous difficulties to adjust their lives in a new and unfamiliar surrounding, but as soon as they acculturate with the existing environment, they feel contented and find themselves a part of the society though many impositions due to social norms, lack of English language proficiency, discrimination and stigma being an immigrant often result in hindrance. The study also exposed the importance of English language in the immigrants’ lives. Results show that the immigrants who are well educated and fluent in English are more involved and accepted in the Canadian society.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| 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".