Investigating Canadian Immigrants’ Time Resided and Sense of Identity and Acculturation: A Research Proposal
Bibliographic record
Abstract
Understanding acculturation through the lens of cultural identity has been an area of focus for research and the utility of a diverse theoretical model is useful to reflect the complex factors associated with identity and acculturation. As immigrants settle into their host country, their sense of identity and acculturation is rapidly developing. The recently devised theoretical model of cultural identity negotiation (MCIN) for emerging adult immigrants (EAI) highlights the four approaches to cultural identity negotiation which EAI can use when exploring and forming their sense of identity in Canada. I propose to analyze the concurrent validity of the MCIN for EAI in Canadian immigrant youth to determine whether the test is an accurate measure of cultural identity in adolescent immigrants. With the MCIN for EAI being an all-encompassing and diverse theoretical model, an adapted version of the interview protocol will be used to test the reliability and validity of this model. I hypothesize that through the MCIN for EAI, there will be a positive correlation between time resided in Canada and sense of identity as well as acculturation. A total of 25 participants ages 10-19 who are immigrants to Canada or in the process of immigrating to Canada will be recruited. Qualitative interviews will be analyzed using content analysis. Multivariate regression analyses will be conducted to determine the relationships between time resided, sense of identity, and acculturation. Lastly, these results will be compared to the MCIN for EAI model. The results of this study will guide clinicians' decisions to incorporate this novel theoretical model in academic and clinical settings. The expected findings suggest that as adolescent immigrants spend more time in Canada, they better assimilate with the host culture and develop their sense of identity.
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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 | 0.018 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".