Intergenerational Relationships and Communication among the Rural Aged in Malaysia
Bibliographic record
Abstract
In Malaysia the family has been the main institution caring for the aged. However, the processes of development, directly or indirectly, have impacted the size, functions and structure of the family unit, which subsequently impacted the family intergenerational relationships and communication. This study is about the intergenerational relationships and communication specifically among the rural aged with their family members. The main objective is to further understand the relationship of the aged with those around them and its contribution to productive and quality ageing process. Survey was the main method used in the study and was conducted among 200 older persons residing in the rural area of mukim Sungai Petani, in the district of Kuala Muda, Kedah, Malaysia. A total of 186 co-residing adult children were also interviewed. The study shows that the intergenerational relationship is still stable and harmonious. The study also shows that the family structure in the area is mainly extended rather than nuclear with the family members exchanging mutual support. In fact, family and kinship network have remain important support network for the families. Generally, the children show positive and responsible attitudes towards their parents. This is in line with Malaysian culture that places importance on good and close relationships between generations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".