A cross-cultural analysis of the demand-withdraw marital interaction: Observing couples from a developing country.
Bibliographic record
Abstract
The authors used cross-cultural methodology to examine the demand-withdraw pattern of marital communication. In Western countries, women usually make more demands, whereas men are more likely to withdraw. But the recently advanced marital structure hypothesis suggests that this pattern can be altered by gender roles and beliefs, particularly in traditional marriages. To test such hypotheses, the authors conducted an observational study of marital communication across very different cultures, with varying levels of patriarchy (i.e., 50 White American couples, 52 Pakistani couples in Pakistan, and 48 immigrant Pakistani couples in America). Across cultures, demand-withdraw communication was related to marital distress, extending previous findings to new groups. However, the findings challenge the notion that demanding and withdrawing behaviors are inherently male or female; rather, the results point to the relevance of contextual factors, specifically gender power differences and acculturation, in understanding the demand-withdraw marital interaction pattern. Therapists working with foreign or immigrant couples must consider the cross-cultural generalizability of existing theories of marital communication.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".