Exploring the Role of Extended Family in Child Rearing Practices Across Different Cultures
Bibliographic record
Abstract
Objective: The objective of this study was to explore the role of extended family in child-rearing practices across different cultures. The research aimed to understand how extended family members contribute to the upbringing of children and the impact of these practices on child development and family dynamics. Methods: This qualitative study employed semi-structured interviews to collect data from 25 participants of diverse cultural backgrounds. The participants were selected through purposive sampling to ensure a variety of perspectives. Data collection continued until theoretical saturation was achieved. The interview data were analyzed using NVivo software, facilitating systematic coding and thematic analysis to identify key themes and patterns related to the involvement of extended family in child-rearing. Results: The analysis revealed four main themes: daily involvement, cultural beliefs and practices, comparative perspectives on nuclear versus extended family roles, and personal experiences. Extended family members were found to provide substantial support in daily childcare responsibilities, emotional support, discipline, practical assistance, and health and safety. Cultural beliefs significantly influenced child-rearing practices, with extended families playing a crucial role in transmitting traditions, values, and language. Participants highlighted both the benefits and challenges of extended family involvement, noting the importance of emotional support and the difficulties of managing conflicts and generational gaps. Personal experiences underscored the positive and negative aspects of extended family dynamics and the coping strategies employed to navigate these relationships. Conclusion: The study underscores the vital role of extended family members in child-rearing practices across different cultures. Their involvement offers emotional, practical, and cultural support, enhancing children's development and family cohesion. However, challenges such as conflicts and generational gaps must be addressed. Future research should include larger and more diverse samples, employ mixed-methods approaches, and explore the perspectives of extended family members. Practitioners should recognize the value of extended family involvement and support families in managing these complex relationships.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".