Strength of Canadian identification and the prediction of Asian immigrants' intentions to become Canadian citizens : a social psychological analysis
Bibliographic record
Abstract
Citizenship acquisition is often interpreted as indicating an immigrants’ successful integration into their new society. The literature includes a variety of behavioural, but not psychological, indicators of integration in the prediction of citizenship acquisition. Using an intergroup relations perspective, this study examined Asian immigrants’ intentions to become Canadian citizens. Social identity theory was used to conceptualize the formation of a Canadian identity as an indicator of psychological integration into Canada. It was hypothesized that the stronger immigrants identify with Canada, the more likely they will want to acquire Canadian citizenship. Perceived discrimination and cultural incompatibility, as acculturative barriers to the formation of a Canadian identity, were hypothesized to relate negatively to intentions to acquire Canadian citizenship. The relationship between immigrants’ cultural identity and citizenship acquisition intentions was also explored, as was the importance of psychological predictors in relation to behavioural predictors of citizenship acquisition intentions. One hundred and fourteen immigrants to Canada from Asia completed an Internet questionnaire about their experiences in Canada, and their intentions to become Canadian citizens. The results showed a positive relationship (r = .55) between respondents’ strength of Canadian identification and their intentions to apply for Canadian citizenship, as well as an unexpected positive relationship (r = .15) between their perceptions of discrimination against immigrants in the Canadian labour market and their citizenship acquisition intentions. Cultural identity and perceptions of cultural incompatibility were unrelated to their citizenship acquisition intentions.A hierarchical multiple regression showed that the combination of English ability, length of time lived in Canada, participation in Canadian society, Canadian Identification, and Perceptions of discrimination against immigrants in the labour market accounted for 36.5% of the variance in citizenship acquisition intentions. Only Canadian identification and perceptions of discrimination contributed uniquely to the variance. It was concluded that Canadian identity is importantly related to immigrants’ citizenship acquisition intentions, and that psychological acculturation is relevant to the study of citizenship acquisition. These novel findings are important and expand the citizenship acquisition literature as well as contribute to the further development of social identity theory.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".