Intergenerational Transmission of Cultural Values in Bicultural Families
Bibliographic record
Abstract
Objective: The objective of this study is to explore the intergenerational transmission of cultural values within bicultural families, focusing on how these families preserve their cultural heritage, adapt to their host society, and navigate the associated challenges. Methods: This qualitative research employed semi-structured interviews with 21 participants from diverse bicultural backgrounds. Participants were selected using purposive sampling to ensure a variety of cultural perspectives. Data collection continued until theoretical saturation was reached. The interviews were transcribed and analyzed using NVivo software, following a thematic approach to identify patterns and themes related to cultural value transmission. Results: The analysis revealed three main themes: preservation of cultural practices, adaptation and integration, and challenges and negotiations. Cultural preservation was achieved through traditional ceremonies, language use, cuisine, arts and crafts, and dress. Adaptation involved blending cultures, educational influences, social interactions, and media use. Challenges included generational conflicts, identity issues, discrimination, acculturation stress, balancing preservation with change, and economic factors. These findings align with existing literature on biculturalism and cultural transmission. Conclusion: The study highlights the complex dynamics of cultural value transmission in bicultural families, emphasizing the importance of supportive societal structures and policies. The findings suggest that family therapists, educators, and policymakers should consider these dynamics to effectively support bicultural families in maintaining their cultural heritage while adapting to their host society. Future research should expand on these findings by exploring additional variables and employing longitudinal designs.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| 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".