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Record W2115162337 · doi:10.1177/0192513x10368269

The Pathways From Parents’ Marital Quality to Adolescents’ School Adjustment in South Korea

2010· article· en· W2115162337 on OpenAlexaff
Yu-Jin Jeong, Chun Young-Ju

Bibliographic record

VenueJournal of Family Issues · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyPath analysis (statistics)Developmental psychologyMediationSelf-esteemPerceptionQuality (philosophy)Marital relationship

Abstract

fetched live from OpenAlex

This study tested the hypothesized pathways from parents’ marital quality to Korean adolescents’ school adjustment through the perception of self and parent—child relations. Based on previous literature and two major family theories, the authors hypothesized a path model to explain the process of how parents’ marital quality influenced school adjustment through child’s self-esteem and parent—child communication. The path model analysis was used with 578 Korean adolescent students in academic high schools. The results showed that Korean youth were likely to better adjust to a school setting as they perceived that their parents had a good marital relationship. The interparental relationship directly affected school adjustment but not psychological adjustment of self-esteem. Additionally, the marital quality of parents had an indirect effect on Korean youth’s school adjustment in the mediation process of parent—child communication. Academic and practical implications are also discussed, followed by limitations and future directions.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.050
GPT teacher head0.342
Teacher spread0.292 · 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
Published2010
Admission routes1
Has abstractyes

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