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Record W2586228974 · doi:10.3138/jcfs.41.4.557

Change and Stability in Cohabitation and Children’s Educational Adjustment

2010· article· en· W2586228974 on OpenAlexaffvenueabout
Zheng Wu, Catherine L. Costigan, Feng Hou, Ruth Kampen, Christoph M. Schimmele

Bibliographic record

VenueJournal of Comparative Family Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCohabitationSocioeconomic statusDevelopmental psychologyPsychologyMarital statusDemographyNational Survey of Family GrowthLongitudinal studyFragile Families and Child Wellbeing StudyPopulationMedicineSociologyGeographyFamily planningResearch methodology

Abstract

fetched live from OpenAlex

This study examines the short-term effects of change and stability in family type on the educational adjustment of children aged 10-15 years. Data for study are drawn from five waves of the Canadian National Longitudinal Survey of Children and Youth. Our focus is on comparing cohabiting (biological and step) families and marital families. No differences are observed for changes in school engagement based on cohabitation. Perceived achievement shows greater declines for children in stable cohabiting relationships compared to stable marital relationships. Children from families in which a cohabiting relationship dissolved over a two-year period do not differ from children from stable cohabiting families. Children from families in which a marital relationship dissolved report significantly less school engagement and perceived achievement than children from stable married families. The dissolution of a cohabiting relationship has more negative effects on children’s education than divorce. These differences remain after accounting for socioeconomic status and family process.

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)0.009
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 score0.087
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.156
GPT teacher head0.396
Teacher spread0.240 · 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

Citations12
Published2010
Admission routes3
Has abstractyes

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