Functional relationships in the nuclear and extended family: A 16‐culture study
Bibliographic record
Abstract
This study investigated the relationship between culture, structural aspects of the nuclear and extended family, and functional aspects of the family, that is, emotional distance, social interaction, and communication, as well as geographical proximity. The focus was on the functional aspects of family, defined as members of the nuclear family (mother, father, and their children) and the extended family (grandmother/grandfather, aunt/uncle, cousins). Sixteen cultures participated in this study, with a total number of 2587 participants. The first hypothesis, that the pattern of scores on the psychological measures and the behavioral outcomes are similar across cultures, an indication of cultural universality, was supported. The second hypothesis, that functional relations between members of the nuclear family and their kin are maintained in high‐affluent and low‐affluent cultures, and that differences in functional relationships in high‐ and low‐affluent cultures are a matter of degree, was also supported by the findings. The results suggest that it is less meaningful in cross‐cultural family studies to ask questions about the structure of the family, than to ask about the functional relationships between members of the nuclear family and their kin. In looking only at the nuclear family, one focuses only on those residing in the household, but ignores those important members of the extended family who may reside nearby and their significant relationships with the members of the nuclear family.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".