Independent and Interdependent Self-Construal: An Examination of Migration History and Gender in Chinese- and European-Canadians
Bibliographic record
Abstract
Despite previous work on independent and interdependent self-construal, there is more limited research in self-construal with relation to migration history. Additionally, gender influences on self-construal and the correlation between the two self-construal dimensions remain unclear, given the mixed findings in existing literature. Current study aims to replicate and extend self-construal findings from Chinese- and Euro-Canadians in relation to migration history and gender. We hypothesized that men and individuals with earlier migration history to Canada will report higher independent and lower interdependent self-construal. Canadian university students (N = 524) completed the Self-Construal Scale (Singelis, 1994) and reported their gender, ethnicity, and migration history. Previous findings on independent but not interdependent self-construal were replicated: Euro-Canadians, men, and individuals with earlier migration history reported higher independent self-construal than Chinese-Canadians, women, and those with later migration history. Positive correlations between independent and interdependent self-construal were found among the Chinese participants, with this correlation being significantly higher in Chinese-Canadians who migrated around high school than other groups. The replication of past findings on independent but not interdependent self-construal suggests that a shift in the cultural landscape may challenge previous assumptions on self-construal. Culturally-bound gender differences, reference-group effect, possible explanations for and implications of the unique experiences of various bicultural groups, and potential links to other theories of culture and self-concept were discussed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".