MétaCan
Menu
Back to cohort
Record W2911703917 · doi:10.3138/jcfs.49.4.409

Associations Between Familism and Psychological Adjustment Among Korean Emerging Adults: Underlying Processes

2018· article· en· W2911703917 on OpenAlexvenueno aff
Jaerim Lee, Catherine Solheim

Bibliographic record

VenueJournal of Comparative Family Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsAffectionPsychologyConformityStructural equation modelingDepressive symptomsLife satisfactionDevelopmental psychologyAssociation (psychology)Social psychologyClinical psychologyPsychiatryAnxietyPsychotherapist

Abstract

fetched live from OpenAlex

In this study, we investigated whether and how familism was linked to Korean emerging adults’ psychological adjustment (i.e., depressive symptoms and life satisfaction) through multiple mediators. Our mediators were two aspects of parent-child relationships—conformity to parental expectations and parent-child affection—and differentiation of self, a key concept in Bowen’s family systems theory. The data came from 420 South Korean university students who were 18 to 25 years old and had at least one living parent. Structural equation modeling showed that familism had both positive and negative indirect relationships with psychological adjustment depending upon the mediators. Through a greater willingness to conform to parental expectations and through less differentiation of self, familism had a negative indirect relationship with depressive symptoms and life satisfaction. However, through greater parent-child affection, familism had a positive indirect association with depressive symptoms and life satisfaction. Our findings suggest that familism plays complicated roles in Korean emerging adults’ psychological adjustment and that differentiation of self is a useful concept in explaining the underlying mechanism that connects familism with emerging adults’ psychological adjustment.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.169
GPT teacher head0.437
Teacher spread0.268 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Comparative Family StudiesSame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207