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Record W2602492476 · doi:10.3138/jcfs.45.1.93

Marital Power Structure in Two Chinese Societies: Measurement and Mechanisms

2014· article· en· W2602492476 on OpenAlexvenueno aff
Wen-Yin Chien, Chin-Chun Yi

Bibliographic record

VenueJournal of Comparative Family Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsDominance (genetics)WifePower (physics)Marital statusPsychologySocial psychologySurvey data collectionConstruct (python library)DemographyDemographic economicsSociologyPopulationEconomicsPolitical science

Abstract

fetched live from OpenAlex

The changing nature of conjugal relationships has become a focal issue in family research in East Asia. The rapid social changes in the region have imposed serious challenges to patriarchal dominance as well as to the cultural value of the father-son lineage. Patterns of conjugal relationships thus represent significant family dynamics in response to external changes in the region. A lack of conjugal data and the use of single weight measurement are two conventional drawbacks in studying marital power structures. Hence, this study aims to construct a better marital power index and to apply it in analyzing mechanisms accounting for wives’ marital status by using two corresponding couple datasets from Taiwan and Shanghai. Data are taken from “The Economic Development and Women’s Family Status in Different Chinese Societies”. Using the Analytic Hierarchy Process analysis, three sets of weights are derived for the marital power structure in Taiwan and in Shanghai. After taking into account both family decisions and household labor division, our results indicate that the marital power structure in Taiwan and in Shanghai tends to be male dominant. Taiwanese women’s family status score is approximately 39, in contrast with men’s score of 61. Shanghai women’s marital power score is about 43, higher than their Taiwanese counterparts, but remains lower than husbands’ score of 57. With regard to mechanisms explaining various marital power patterns, the Actor-Partner Interdependence Model reveals slightly different patterns for Taiwanese and Shanghai couples. While individual and relative conjugal resources account for wives’ domestic status in both Taiwan and Shanghai, normative effects such as co-residence with paternal parents, Hakka ethnic background and the immediate constraint of children produce salient negative effect on having egalitarian marital relations among Taiwanese couples. Our findings show that Shanghai couples lean toward the Western recourse model, while Taiwan couples are affected by the interaction between norm and resource. We conclude that it is essential to consider both family decision-making and household division of labor in the construction of a multi-dimensional marital power score. Use of the “dyad” as the unit of analysis, instead of using the “individual” unit, in studying conjugal relations is strongly suggested. Furthermore, our study points out the importance of examining the interplay of norms and resources in studying conjugal relations in a changing context such as the Chinese family.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.364
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), 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

Citations18
Published2014
Admission routes1
Has abstractyes

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