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Record W4229057986 · doi:10.3138/jcfs.53.2.050

Integrating Two Families: Factors Influencing Relationship Satisfaction Among Intercultural Couples

2022· article· en· W4229057986 on OpenAlexvenueno aff
Cara S. Maffini, Grace Paradis, Faith M. Molthen

Bibliographic record

VenueJournal of Comparative Family Studies · 2022
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySocial psychologyConstructiveMultilevel modelLife satisfaction

Abstract

fetched live from OpenAlex

Though rates of people dating and marrying outside of their own culture continue to rise across the U.S., families may struggle to accept this choice. In turn, the family’s attitudes toward one’s partner can impact relational dynamics of an intercultural couple. Framed within Ecological Systems Theory, this study examines individual, couple, and family level influences on relationship satisfaction among individuals in intercultural relationships. Participants ( N = 264) self-identified as being in a relationship with someone who was of a different race, ethnicity, or culture and completed a brief online survey. Results from a hierarchical regression show that psychological well-being (psychological distress, satisfaction with life), conflict management strategies (constructive, destructive), and family acceptance account for 58% of the variance of relationship satisfaction indicating they are significant factors in overall relationship satisfaction among individuals in intercultural relationships. Furthermore, family acceptance moderated the connection between both constructive and destructive conflict management styles and relationship satisfaction; however, family acceptance did not moderate psychological well-being and relationship satisfaction. Findings shed light on the importance of individual psychological well-being, couples’ conflict management strategies, and family acceptance as significant contributors to relationship satisfaction among those in intercultural relationships.

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 score0.288
Threshold uncertainty score0.756

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 studies0.0010.000
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 head0.128
GPT teacher head0.453
Teacher spread0.325 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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