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Record W2049389643 · doi:10.1037/0022-006x.74.4.755

A cross-cultural analysis of the demand-withdraw marital interaction: Observing couples from a developing country.

2006· article· en· W2049389643 on OpenAlexaff
Uzma S. Rehman, Amy Holtzworth‐Munroe

Bibliographic record

VenueJournal of Consulting and Clinical Psychology · 2006
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeneralizability theoryPsychologyAcculturationSocial psychologyImmigrationPatriarchyConvergence (economics)Test (biology)Developmental psychologyEthnic groupSociologyGender studiesPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.079
GPT teacher head0.512
Teacher spread0.433 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations53
Published2006
Admission routes1
Has abstractyes

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