Exploring the Stories of Asian-Canadian Women on What It Means to Be Bicultural
Bibliographic record
Abstract
Individuals who identify with two cultures, or bicultural individuals, often face unique challenges as they attempt to negotiate the demands of their ethnic and dominant cultures. While much of the research focuses on conceptualizing and measuring bicultural identity, studies investigating the lived experiences of being bicultural are scarce. This study explores the stories of four second-generation Asian-Canadian women about their bicultural experiences and what being bicultural means to them. Drawing from narrative inquiry, interviews were conducted to collect stories from participants. The findings of this study indicate that there are multiple definitions of being bicultural and elucidate some of the challenges faced by second-generation Asian-Canadian women associated with their multifaceted identity. The results provide a better understanding of how Asian-Canadian women define and interact with their bicultural identity.
 Keywords: biculturality, culture, ethnies, identity, second-generation
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".