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Record W4417519760 · doi:10.1177/02724316251408895

Unpacking Moderators in the Path From Parental Knowledge to Educational Attainment and Job Satisfaction: A 15-Year Longitudinal Study

2025· article· en· W4417519760 on OpenAlexaff
Catherine Cimon‐Paquet, Thao Ha, Marie‐Hélène Véronneau

Bibliographic record

VenueThe Journal of Early Adolescence · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsEducational attainmentLongitudinal studyContext (archaeology)Path analysis (statistics)Sample (material)UnpackingLife satisfactionLife course approach

Abstract

fetched live from OpenAlex

Educational attainment and job satisfaction are crucial milestones for a successful transition to adulthood. Parental knowledge of their adolescents’ lives may promote a positive trajectory toward such outcomes. However, the longitudinal associations between parental knowledge, educational attainment and job satisfaction might differ depending on the family context or on youth personal assets. Thus, this study examined potential moderators of these associations. The sample included 818 American youth recruited in early adolescence ( M age = 12.20 years, 46% girls, 43.5% European Americans, 27.6% African Americans, 28.9% Multiethnic or other) and followed up through adulthood ( M age = 28.93 years). Path analyses showed that parental knowledge predicts educational attainment among youth with higher academic achievement and those with lower levels of positive family relations. Parental knowledge was unrelated to job satisfaction. Results reveal the complex mechanisms through which family factors and personal assets interact while predicting a successful transition to adulthood.

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 score0.014
Threshold uncertainty score0.313

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 studies0.0000.000
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 head0.027
GPT teacher head0.328
Teacher spread0.301 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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